Tootfinder

Bidirectional Age of Incorrect Information: A Performance Metric for Status Updates in Virtual Dynamic Environments
Chiara Schiavo, Manuele Favero, Alessandro Buratto, Leonardo Badia
https://arxiv.org/abs/2507.13312

Bidirectional Age of Incorrect Information: A Performance Metric for Status Updates in Virtual Dynamic Environments
Virtual dynamic environments (VDEs) such as the Metaverse and digital twins (DTs) require proper representation of the interacting entities to map their characteristics within the simulated or augmented space. Keeping these representations accurate and up-to-date is crucial for seamless interaction and system reliability. In this paper, we propose bidirectional age of incorrect information (BAoII) to address this aspect. BAoII quantifies the time-dependent penalty paid by an entity in a VDE due…

DuetUI: A Bidirectional Context Loop for Human-Agent Co-Generation of Task-Oriented Interfaces
Yuan Xu, Shaowen Xiang, Yizhi Song, Ruoting Sun, Xin Tong
https://arxiv.org/abs/2509.13444

DuetUI: A Bidirectional Context Loop for Human-Agent Co-Generation of Task-Oriented Interfaces
Large Language Models are reshaping task automation, yet remain limited in complex, multi-step real-world tasks that require aligning with vague user intent and enabling dynamic user override. From a formative study with 12 participants, we found that end-users actively seek to shape generative interfaces rather than relying on one-shot outputs. To address this, we introduce the human-agent co-generation paradigm, materialized in DuetUI. This LLM-empowered system unfolds alongside task progress…

Self-Guided Action Diffusion
Rhea Malhotra, Yuejiang Liu, Chelsea Finn
https://arxiv.org/abs/2508.12189 https://arxiv.org/pdf/2508.12189

Self-Guided Action Diffusion
Recent works have shown the promise of inference-time search over action samples for improving generative robot policies. In particular, optimizing cross-chunk coherence via bidirectional decoding has proven effective in boosting the consistency and reactivity of diffusion policies. However, this approach remains computationally expensive as the diversity of sampled actions grows. In this paper, we introduce self-guided action diffusion, a more efficient variant of bidirectional decoding tailor…

This is an interesting graph from an interesting Amber Electric blog, showing what participating households pay (or rather, receive) for electricity as part of their 🇦🇺 #V2G trial. Note that here are already three CCS DC bidirectional chargers on offer!

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Yubo Li, Weiyi Song
https://arxiv.org/abs/2509.12179 https://arxiv.org/pd…

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Current AI alignment through RLHF follows a single directional paradigm that AI conforms to human preferences while treating human cognition as fixed. We propose a shift to co-alignment through Bidirectional Cognitive Alignment (BiCA), where humans and AI mutually adapt. BiCA uses learnable protocols, representation mapping, and KL-budget constraints for controlled co-evolution. In collaborative navigation, BiCA achieved 85.5% success versus 70.3% baseline, with 230% better mutual adaptation an…

I first read CoolGaY on an ad.
https://www.infineon.com/products/power/gallium-nitride/gan-bidirectional-switches/high-voltage-gan-bidirectional-switches

High-voltage GaN bidirectional switches | Infineon Technologies
Learn more about monolithic bidirectional switches based on GaN technology 650V

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Xianglong He, Chunli Peng, Zexiang Liu, Boyang Wang, Yifan Zhang, Qi Cui, Fei Kang, Biao Jiang, Mengyin An, Yangyang Ren, Baixin Xu, Hao-Xiang Guo, Kaixiong Gong, Cyrus Wu, Wei Li, Xuchen Song, Yang Liu, Eric Li, Yahui Zhou
https://arxiv.org/abs/2508.13009

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Recent advances in interactive video generations have demonstrated diffusion model's potential as world models by capturing complex physical dynamics and interactive behaviors. However, existing interactive world models depend on bidirectional attention and lengthy inference steps, severely limiting real-time performance. Consequently, they are hard to simulate real-world dynamics, where outcomes must update instantaneously based on historical context and current actions. To address this, we pr…

A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security
Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari, Mohamed Chahine Ghanem
https://arxiv.org/abs/2508.12470 …

A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security
The increased Internet of Medical Things IoMT and the Industrial Internet of Things IIoT interconnectivity has introduced complex cybersecurity challenges, exposing sensitive data, patient safety, and industrial operations to advanced cyber threats. To mitigate these risks, this paper introduces a novel transformer-based intrusion detection system IDS, termed BiGAT-ID a hybrid model that combines bidirectional gated recurrent units BiGRU, long short-term memory LSTM networks, and multi-head att…

Hyperspectral Polarimetric BRDFs of Real-world Materials
Yunseong Moon, Ryota Maeda, Suhyun Shin, Inseung Hwang, Youngchan Kim, Min H. Kim, Seung-Hwan Baek
https://arxiv.org/abs/2509.13779

Hyperspectral Polarimetric BRDFs of Real-world Materials
Acquiring bidirectional reflectance distribution functions (BRDFs) is essential for simulating light transport and analytically modeling material properties. Over the past two decades, numerous intensity-only BRDF datasets in the visible spectrum have been introduced, primarily for RGB image rendering applications. However, in scientific and engineering domains, there remains an unmet need to model light transport with polarization--a fundamental wave property of light--across hyperspectral ban…

Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
Bin Ma, Yifei Zhang, Yongjin Xian, Qi Li, Linna Zhou, Gongxun Miao
https://arxiv.org/abs/2508.12574

Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
With the development of social media networks, rumor detection models have attracted more and more attention. Whereas, these models primarily focus on classifying contexts as rumors or not, lacking the capability to locate and mark specific rumor content. To address this limitation, this paper proposes a novel rumor detection model named Insight Rumors to locate and mark rumor content within textual data. Specifically, we propose the Bidirectional Mamba2 Network with Dot-Product Attention (Att_…

Learn to Relax with Large Language Models: Solving Nonlinear Combinatorial Optimization Problems via Bidirectional Coevolution
Beidan Liu, Zhengqiu Zhu, Chen Gao, Yong Zhao, Wei Qi, Quanjun Yin
https://arxiv.org/abs/2509.12643

Learn to Relax with Large Language Models: Solving Nonlinear Combinatorial Optimization Problems via Bidirectional Coevolution
Nonlinear Combinatorial Optimization Problems (NCOPs) present a formidable computational hurdle in practice, as their nonconvex nature gives rise to multi-modal solution spaces that defy efficient optimization. Traditional constraint relaxation approaches rely heavily on expert-driven, iterative design processes that lack systematic automation and scalable adaptability. While recent Large Language Model (LLM)-based optimization methods show promise for autonomous problem-solving, they predomina…

🧵 #Fibers offer asymmetric, stackful coroutines - can suspend from nested functions using Fiber::suspend() and resume with resume() method
💾 Both maintain internal state between suspensions, enabling bidirectional communication with calling code

Monolithic low-noise erbium-doped thin-film lithium niobate waveguide amplifier with 18 dB fiber to fiber net gain
Mengqi Li, Jianping Yu, Zhe Wang, Botao Fu, Rongbo Wu, Min Wang, Haisu Zhang, Ya Cheng
https://arxiv.org/abs/2508.11941

Monolithic low-noise erbium-doped thin-film lithium niobate waveguide amplifier with 18 dB fiber to fiber net gain
Erbium-doped waveguide amplifiers have captured great attentions in recent years due to the rapid advance of photonic integration materials and fabrication techniques. In this work, a compact erbium-doped thin-film lithium niobate waveguide amplifier integrated with high-efficiency edge-couplers on the small footprint of 2 mm{\cross}25 mm, achieving >18 dB fiber-to-fiber (off-chip) net gain with bidirectional pumping by ~1480 nm laser diodes, is fabricated by the photolithography assisted chemo…

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs
Xiangqi Jin, Yuxuan Wang, Yifeng Gao, Zichen Wen, Biqing Qi, Dongrui Liu, Linfeng Zhang
https://arxiv.org/abs/2508.10736

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs
Despite large language models (LLMs) have achieved remarkable success, their prefix-only prompting paradigm and sequential generation process offer limited flexibility for bidirectional information. Diffusion large language models (dLLMs) present new opportunities through their bidirectional attention mechanisms and iterative refinement processes, enabling more flexible in-place prompting strategies. We introduce ICE (In-Place Chain-of-Thought Prompting with Early Exit), a novel framework that …

Py maidr: Bridging Visual and Non-Visual Data Experiences Through a Unified Python Framework
JooYoung Seo, Saairam Venkatesh, Daksh Pokar, Sanchita Kamath, Krishna Anandan Ganesan
https://arxiv.org/abs/2509.13532

Py maidr: Bridging Visual and Non-Visual Data Experiences Through a Unified Python Framework
Although recent efforts have developed accessible data visualization tools for blind and low-vision (BLV) users, most follow a "design for them" approach that creates an unintentional divide between sighted creators and BLV consumers. This unidirectional paradigm perpetuates a power dynamic where sighted creators produce non-visual content boundaries for BLV consumers to access. This paper proposes a bidirectional approach, "design for us," where both sighted and BLV collaborators can employ th…

Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative
Xi Xuan, Zimo Zhu, Wenxin Zhang, Yi-Cheng Lin, Tomi Kinnunen
https://arxiv.org/abs/2508.09294

Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative
Advances in speech synthesis intensify security threats, motivating real-time deepfake detection research. We investigate whether bidirectional Mamba can serve as a competitive alternative to Self-Attention in detecting synthetic speech. Our solution, Fake-Mamba, integrates an XLSR front-end with bidirectional Mamba to capture both local and global artifacts. Our core innovation introduces three efficient encoders: TransBiMamba, ConBiMamba, and PN-BiMamba. Leveraging XLSR's rich linguistic repr…

Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
Zequan Liang, Ruoyu Zhang, Wei Shao, krishna Karthik, Ehsan Kourkchi, Setareh Rafatirad, Houman Homayoun
https://arxiv.org/abs/2509.12515

Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
Blood oxygen saturation (SpO2) is a vital marker for healthcare monitoring. Traditional SpO2 estimation methods often rely on complex clinical calibration, making them unsuitable for low-power, wearable applications. In this paper, we propose a transfer learning-based framework for the rapid adaptation of SpO2 estimation to energy-efficient wearable devices using low-sampling-rate (25Hz) dual-channel photoplethysmography (PPG). We first pretrain a bidirectional Long Short-Term Memory (BiLSTM) m…

Low-latency Forecasts of Kilonova Light Curves for Rubin and ZTF
Natalya Plestkova, Niharika Sravan, R. Weizmann Kiendrebeogo, Michael W. Coughlin, Derek Davis, Andrew Toivonen, Theophile Jegou du Laz, Tom\'as Ahumada, Tyler Barna, George Helou, Roger Smith, Ben Rusholme, Russ R. Laher, Ashish A. Mahabal
https://arxiv.org/ab…

Low-latency Forecasts of Kilonova Light Curves for Rubin and ZTF
Follow-up of gravitational-wave events by wide-field surveys is a crucial tool for the discovery of electromagnetic counterparts to gravitational wave sources, such as kilonovae. Machine learning tools can play an important role in aiding search efforts. We have developed a public tool to predict kilonova light curves using simulated low-latency alert data from the International Gravitational Wave Network during observing runs 4 (O4) and 5 (O5). It uses a bidirectional long-short-term memory (L…

IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
Shusen Ma, Tianhao Zhang, Qijiu Xia, Yun-Bo Zhao
https://arxiv.org/abs/2509.07725

IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
Multivariate time series forecasting (MTSF) often faces challenges from missing variables, which hinder conventional spatial-temporal graph neural networks in modeling inter-variable correlations. While GinAR addresses variable missing using attention-based imputation and adaptive graph learning for the first time, it lacks interpretability and fails to capture more latent temporal patterns due to its simple recursive units (RUs). To overcome these limitations, we propose the Interpretable Bidi…

Reentrant localization in fractionally charged electron wave packets
Y. Yin
https://arxiv.org/abs/2509.12532 https://arxiv.org/pdf/2509.12532

Reentrant localization in fractionally charged electron wave packets
We investigate the localization transition in fractionally charged electron wave packets, which is injected into a quantum conductor by a single voltage pulse with arbitrary flux quantum. We show that the transition is unidirectional for individual electrons or holes. They always undergo a delocalization-to-localization transition as the flux increases. In contrast, the transition of the neutral electron-hole pairs is bidirectional. As the flux increases, the transition can be a localization-to…

BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs
Yifan Su, Rishi Veerapaneni, Jiaoyang Li
https://arxiv.org/abs/2508.04849 https://…

BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs
Multi-Agent Path Finding (MAPF) requires computing collision-free paths for multiple agents in shared environment. Most MAPF planners assume that each agent reaches a specific location at a specific timestep, but this is infeasible to directly follow on real systems where delays often occur. To address collisions caused by agents deviating due to delays, the Temporal Plan Graph (TPG) was proposed, which converts a MAPF time dependent solution into a time independent set of inter-agent dependenc…

KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation
Songlin Zhai, Guilin Qi, Yuan Meng
https://arxiv.org/abs/2507.08704

KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation
Knowledge graphs (KGs) play a critical role in enhancing large language models (LLMs) by introducing structured and grounded knowledge into the learning process. However, most existing KG-enhanced approaches rely on parameter-intensive fine-tuning, which risks catastrophic forgetting and degrades the pretrained model's generalization. Moreover, they exhibit limited adaptability to real-time knowledge updates due to their static integration frameworks. To address these issues, we introduce the f…

IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
Nikesh Prajapati, Bimal Karki, Saroj Gopali, Akbar Siami Namin
https://arxiv.org/abs/2507.10758

IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
This paper intends to detect IoT malicious attacks through deep learning models and demonstrates a comprehensive evaluation of the deep learning and graph-based models regarding malicious network traffic detection. The models particularly are based on GraphSAGE, Bidirectional encoder representations from transformers (BERT), Temporal Convolutional Network (TCN) as well as Multi-Head Attention, together with Bidirectional Long Short-Term Memory (BI-LSTM) Multi-Head Attention and BI-LSTM and LSTM…

Volkswagen, one of the first manufacturers to announce that most of its EVs were capable of bidirectional charging, is moving closer to wider availability with the “Eichrecht-compatible” Cubos DC home charger (ambibox tech) and the Elli service in 🇩🇪 Germany
ht…

The bidirectional NLS approximation for the one-dimensional Euler-Poisson system
Huimin Liu, Yurui Lu, Xueke Pu
https://arxiv.org/abs/2509.07371 https://ar…

The bidirectional NLS approximation for the one-dimensional Euler-Poisson system
The nonlinear Schrödinger (NLS) equation is known as a universal equation describing the evolution of the envelopes of slowly modulated spatially and temporarily oscillating wave packet in various dispersive systems. In this paper, we prove that under a certain multiple scale transformation, solutions to the Euler-Poisson system can be approximated by the sums of two counter-propagating waves solving the NLS equations. It extends the earlier results [Liu and Pu, Comm. Math. Phys., 371(2), (201…

Payment Channels with Proofs
Chad E. Brown, Cezary Kaliszyk, Josef Urban
https://arxiv.org/abs/2509.08268 https://arxiv.org/pdf/2509.08268

Payment Channels with Proofs
The fundamental building blocks of the Bitcoin lightning network are bidirectional payment channels. We describe an extension of payment channels in the Proofgold network which allow the two parties to bet on whether a proposition will be proven by a certain time. These provide the foundation for a Proofgold lightning network that would allow parties to request proofs (by betting there will be no proof by a certain time) and other parties to provide proofs (and be rewarded by betting there will…

Just wasted like an hour trying to get a simple bidirectional bus to work on a Trion. ILA was reading garbage on a design that had previously been working.
Eventually I gave up. Blew away the Efinity project, recreated it from scratch on the same RTL and constraints. Now it works.
I have no idea what happened.
In general the unified flow seems to be *very* buggy wrt making any changes to the RTL and not propagating properly to the interface constraints.

EVs with bidirectional charging can save lives during disasters like hurricanes. #climatechange #climatesolutions #climate

Veterinarian shares how she saved $15,000 worth of pet medicine during hurricane-fueled blackouts: 'They can really save you when the grid goes down'
As more EVs are introduced, companies are making it increasingly possible to use your car to power your home in case of an emergency.

Decoupling Bidirectional Geometric Representations of 4D cost volume with 2D convolution
Xiaobao Wei, Changyong Shu, Zhaokun Yue, Chang Huang, Weiwei Liu, Shuai Yang, Lirong Yang, Peng Gao, Wenbin Zhang, Gaochao Zhu, Chengxiang Wang
https://arxiv.org/abs/2509.02415

Decoupling Bidirectional Geometric Representations of 4D cost volume with 2D convolution
High-performance real-time stereo matching methods invariably rely on 3D regularization of the cost volume, which is unfriendly to mobile devices. And 2D regularization based methods struggle in ill-posed regions. In this paper, we present a deployment-friendly 4D cost aggregation network DBStereo, which is based on pure 2D convolutions. Specifically, we first provide a thorough analysis of the decoupling characteristics of 4D cost volume. And design a lightweight bidirectional geometry aggrega…

AudioRWKV: Efficient and Stable Bidirectional RWKV for Audio Pattern Recognition
Jiayu Xiong, Jun Xue, Jianlong Kwan, Jing Wang
https://arxiv.org/abs/2509.02167 https://

AudioRWKV: Efficient and Stable Bidirectional RWKV for Audio Pattern Recognition
Recently, Transformers (e.g., Audio Spectrogram Transformers, AST) and state-space models (e.g., Audio Mamba, AuM) have achieved remarkable progress in audio modeling. However, the O(L^2) computational complexity of the Transformer architecture hinders efficient long-sequence processing, while the Mamba architecture tends to become unstable when scaling parameters and data. To address these challenges, this paper proposes AudioRWKV (A-RWKV), a highly efficient and stable architecture for audio …

A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
Jiaqi Min, Xueyue Zhang, Shanshan Luo
https://arxiv.org/abs/2507.13965

A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
Proxy variables are commonly used in causal inference when unmeasured confounding exists. While most existing proximal methods assume a unidirectional causal relationship between two primary variables, many social and biological systems exhibit complex feedback mechanisms that imply bidirectional causality. In this paper, using regression-based models, we extend the proximal framework to identify bidirectional causal effects in the presence of unmeasured confounding. We establish the identifica…

Decentralized Local Voltage Control for Active Distribution Networks
Diana Vieira Fernandes, Soummya Kar, Carlos Santos Silva
https://arxiv.org/abs/2509.09048 https://

Decentralized Local Voltage Control for Active Distribution Networks
Distribution networks face challenges from the increasing deployment of Distributed Energy Resources (DERs) and the emergence of bidirectional power flows. We propose a decentralized Volt/VAr control method based on a saddle-point reformulation and consensus+innovation (C+I) updates. Each agent at a controllable bus computes and enforces its own set-points using only neighbor communication. Our method embeds passive buses directly, preserves network physics through a linearized Jacobian model, …

Bidirectional anisotropic solar energetic particle events observed by Solar Orbiter
Zheyi Ding, Robert F. Wimmer-Schweingruber, Yu Chen, Lingling Zhao, Alexander Kollhoff, Patrick K\"uhl, Liu Yang, Lars Berger, Verena Heidrich-Meisner, Javier Rodriguez-Pacheco, George C. Ho, Glenn M. Mason, Gang Li, Tom\'a\v{s} Form\'anek, Christopher J. Owen
https…

Bidirectional anisotropic solar energetic particle events observed by Solar Orbiter
Solar Energetic Particle (SEP) events are critical for understanding particle acceleration and transport in the heliosphere. While most SEP events involve outward streaming particles along open magnetic field lines, bidirectional events characterized by simultaneous sunward and anti-sunward particle flows offer unique insights into magnetic field topology and the interplay of multiple acceleration sources. We aim to investigate the origin and transport of energetic particles in two rare bidirec…

Now with a map indicating the availability and pricing of BMW's #V2G bidirectional wallbox. Do the price differences reflect national support schemes?
https://www.

Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization
Liding Zhang, Yao Ling, Zhenshan Bing, Fan Wu, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.19776

Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization
Bidirectional motion planning often reduces planning time compared to its unidirectional counterparts. It requires connecting the forward and reverse search trees to form a continuous path. However, this process could fail and restart the asymmetric bidirectional search due to the limitations of lazy-reverse search. To address this challenge, we propose Greedy GuILD Grafting Trees (G3T*), a novel path planner that grafts invalid edge connections at both ends to re-establish tree-based connectiv…

Parallel Point-to-Point Shortest Paths and Batch Queries
Xiaojun Dong, Andy Li, Yan Gu, Yihan Sun
https://arxiv.org/abs/2506.16488 https://

Parallel Point-to-Point Shortest Paths and Batch Queries
We propose Orionet, efficient parallel implementations of Point-to-Point Shortest Paths (PPSP) queries using bidirectional search (BiDS) and other heuristics, with an additional focus on batch PPSP queries. We present a framework for parallel PPSP built on existing single-source shortest paths (SSSP) frameworks by incorporating pruning conditions. As a result, we develop efficient parallel PPSP algorithms based on early termination, bidirectional search, A$^*$ search, and bidirectional A$^*$ al…

A Survey on Diffusion Language Models
Tianyi Li, Mingda Chen, Bowei Guo, Zhiqiang Shen
https://arxiv.org/abs/2508.10875 https://arxiv.org/pdf/2508.10875

A Survey on Diffusion Language Models
Diffusion Language Models (DLMs) are rapidly emerging as a powerful and promising alternative to the dominant autoregressive (AR) paradigm. By generating tokens in parallel through an iterative denoising process, DLMs possess inherent advantages in reducing inference latency and capturing bidirectional context, thereby enabling fine-grained control over the generation process. While achieving a several-fold speed-up, recent advancements have allowed DLMs to show performance comparable to their …

AD-AVSR: Asymmetric Dual-stream Enhancement for Robust Audio-Visual Speech Recognition
Junxiao Xue, Xiaozhen Liu, Xuecheng Wu, Xinyi Yin, Danlei Huang, Fei Yu
https://arxiv.org/abs/2508.07608

AD-AVSR: Asymmetric Dual-stream Enhancement for Robust Audio-Visual Speech Recognition
Audio-visual speech recognition (AVSR) combines audio-visual modalities to improve speech recognition, especially in noisy environments. However, most existing methods deploy the unidirectional enhancement or symmetric fusion manner, which limits their capability to capture heterogeneous and complementary correlations of audio-visual data-especially under asymmetric information conditions. To tackle these gaps, we introduce a new AVSR framework termed AD-AVSR based on bidirectional modality enh…

Replaced article(s) found for q-bio.MN. https://arxiv.org/list/q-bio.MN/new
[1/1]:
- Bidirectional Hierarchical Protein Multi-Modal Representation Learning
Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick Stevens

Replaced article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- Escape with Your Self: Sound and Expressive Bidirectional Typing with Avoidance for Reachability ...
Songlin Jia, Guannan Wei, Siyuan He, Yuyan Bao, Tiark Rompf

Replaced article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Si...
Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Yanfu Zhang, Bin Ren

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
Seungyong Lee, Jeong-gi Kwak
https://arxiv.org/abs/2508.04825 https://

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
Virtual try-on aims to synthesize a realistic image of a person wearing a target garment, but accurately modeling garment-body correspondence remains a persistent challenge, especially under pose and appearance variation. In this paper, we propose Voost - a unified and scalable framework that jointly learns virtual try-on and try-off with a single diffusion transformer. By modeling both tasks jointly, Voost enables each garment-person pair to supervise both directions and supports flexible cond…

Identifying Exoplanets with Deep Learning: A CNN and RNN Classifier for Kepler DR25 and Candidate Vetting
Bibin Thomas, Vittal Bhat M, Salman Arafath Mohammed, Abdul Wase Mohammed, Adis Abebaw Dessalegn, Mohit Mittal
https://arxiv.org/abs/2509.04793

Identifying Exoplanets with Deep Learning: A CNN and RNN Classifier for Kepler DR25 and Candidate Vetting
The rapid expansion of exoplanet survey missions such as Kepler, TESS, and the upcoming PLATO mission has generated massive light-curve datasets that challenge traditional vetting pipelines. We introduce a hybrid deep-learning framework that integrates convolutional networks, bidirectional LSTMs, and an attention mechanism to identify planetary transit signals with improved accuracy and interpretability. Trained on Kepler DR25 data, the model achieves F1 = $0.910 \pm 0.008$ (AUC--ROC = $0.984 \…

Gut-Brain Axis as a Closed-Loop Molecular Communication Network
Beyza E. Ortlek, Ozgur B. Akan
https://arxiv.org/abs/2509.07911 https://arxiv.org/pdf/2509.…

Gut-Brain Axis as a Closed-Loop Molecular Communication Network
Molecular communication (MC) provides a quantitative framework for analyzing information transfer within biological systems. This paper introduces a novel and comprehensive MC framework for the gut-brain axis (GBA) as a system of six coupled, nonlinear delay differential equations (DDEs). The proposed model defines a bidirectional feedback loop with a gut-to-brain inflammatory channel and a brain-to-gut neuroendocrine channel. Under prolonged stress, this feedback loop becomes self-perpetuating…

Distributed MIMO With Over-the-Air Phase Calibration Integrated Into the TDD Flow
Khac-Hoang Ngo, Erik G. Larsson
https://arxiv.org/abs/2509.03722 https://…

Distributed MIMO With Over-the-Air Phase Calibration Integrated Into the TDD Flow
Reciprocity-based, joint coherent downlink beamforming from multiple access points (APs) in distributed multiple-input multiple-output (MIMO) with independent local oscillators (LOs) requires the APs to be periodically phase-calibrated (a.k.a. phase-synchronized or phase-aligned). Such phase alignment can be accomplished by bidirectional over-the-air measurements between the APs. In this paper, we show how such over-the-air measurements can be integrated into the time-division duplexing (TDD) f…

Dual-feature selectivity enables bidirectional coding in visual cortical neurons https://www.biorxiv.org/content/10.1101/2025.07.16.665209v1

Can Understanding and Generation Truly Benefit Together -- or Just Coexist?
Zhiyuan Yan, Kaiqing Lin, Zongjian Li, Junyan Ye, Hui Han, Zhendong Wang, Hao Liu, Bin Lin, Hao Li, Xue Xu, Xinyan Xiao, Jingdong Wang, Haifeng Wang, Li Yuan
https://arxiv.org/abs/2509.09666

Can Understanding and Generation Truly Benefit Together -- or Just Coexist?
In this paper, we introduce an insightful paradigm through the Auto-Encoder lens-understanding as the encoder (I2T) that compresses images into text, and generation as the decoder (T2I) that reconstructs images from that text. Using reconstruction fidelity as the unified training objective, we enforce the coherent bidirectional information flow between the understanding and generation processes, bringing mutual gains. To implement this, we propose UAE, a novel framework for unified multimodal l…

Enhancing Stereo Sound Event Detection with BiMamba and Pretrained PSELDnet
Wenmiao Gao, Han Yin
https://arxiv.org/abs/2507.09570 https://

Enhancing Stereo Sound Event Detection with BiMamba and Pretrained PSELDnet
Pre-training methods have greatly improved the performance of sound event localization and detection (SELD). However, existing Transformer-based models still face high computational cost. To solve this problem, we present a stereo SELD system using a pre-trained PSELDnet and a bidirectional Mamba sequence model. Specifically, we replace the Conformer module with a BiMamba module. We also use asymmetric convolutions to better capture the time and frequency relationships in the audio signal. Test…

IDSO-Managed Bid-Based Transactive Distribution Systems Design for DER Participation in Wholesale Markets While Preserving T-D Interactions
Swastik Sharma, Swathi Battula, Sri Niwas Singh
https://arxiv.org/abs/2508.08187

IDSO-Managed Bid-Based Transactive Distribution Systems Design for DER Participation in Wholesale Markets While Preserving T-D Interactions
Participation of Distributed Energy Resources (DERs) in bid-based Transactive Energy Systems (TES) at the distribution systems facilitates strongly coupled, bidirectional interactions between Transmission-Distribution (T-D) systems. Capturing these interactions is critical for ensuring seamless integration within an Integrated Transmission and Distribution (ITD) framework. This study proposes a methodology to preserve such tight T-D linkages by developing an Independent Distribution System Oper…

WebGuard :Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
Ye Tian, Zhang Yumin, Yifan Jia, Jianguo Sun, Yanbin Wang
https://arxiv.org/abs/2506.19356

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
URL+HTML feature fusion shows promise for robust malicious URL detection, since attacker artifacts persist in DOM structures. However, prior work suffers from four critical shortcomings: (1) incomplete URL modeling, failing to jointly capture lexical patterns and semantic context; (2) HTML graph sparsity, where threat-indicative nodes (e.g., obfuscated scripts) are isolated amid benign content, causing signal dilution during graph aggregation; (3) unidirectional analysis, ignoring URL-HTML feat…

Algebraic Framework for Discrete Dynamical Systems over Laurent Series
Ramamonjy Aandriamifidisoa, Loukman Ben Saindou
https://arxiv.org/abs/2508.04708 https://

Algebraic Framework for Discrete Dynamical Systems over Laurent Series
We generalize the framework of discrete algebraic dynamical systems \cite{Andriamifidisoa2014} to Laurent polynomials and series over \(\Z^r\), enabling the modeling of bidirectional discrete systems. By redefining the spaces \(\Dprime\) and \(\Aprime\), introducing a bilinear mapping (defined as the scalar product in Section 3), and extending the shift operator, we preserve the duality and adjoint properties of \cite{Andriamifidisoa2014}. These properties are rigorously proved and illustrated …

Repetition-Rate-Difference Tunable Dual-Comb Fiber Laser Using Bidirectional Lyot filtering
Yuanjun Zhu, Bowen Liu, Maolin Dai, Yifan Ma, Shinji Yamashita, Takasumi Tanabe, Sze Yun Set
https://arxiv.org/abs/2509.01077

Repetition-Rate-Difference Tunable Dual-Comb Fiber Laser Using Bidirectional Lyot filtering
Single cavity dual-comb fiber lasers adopting different multiplexing configurations are benefited from the natures of common-mode noise suppression and superior coherence. Particularly, repetition-rate tunable dual-combs enable non-ambiguous ranging and aliasing-free spectroscopy. However, their sampling rate and spectral resolution is severely restricted by the mechanical delay lines. In a previous work, as rapid as 500 kHz/s tuning rate was realized to address this issue, while the minimum co…

Smart Contract Intent Detection with Pre-trained Programming Language Model
Youwei Huang, Jianwen Li, Sen Fang, Yao Li, Peng Yang, Bin Hu, Tao Zhang
https://arxiv.org/abs/2508.20086

Smart Contract Intent Detection with Pre-trained Programming Language Model
Malicious intent in smart contract development can lead to substantial economic losses. SmartIntentNN is a deep learning model specifically designed to identify unsafe intents in smart contracts. This model integrates the Universal Sentence Encoder, a K-means clustering-based intent highlighting mechanism, and a Bidirectional Long Short-Term Memory network for multi-label classification, achieving an F1 of 0.8633 in distinguishing ten different intent categories. In this study, we present an up…

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music
Hongju Su, Ke Li, Lan Yang, Honggang Zhang, Yi-Zhe Song
https://arxiv.org/abs/2508.20665 …

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music
Existing state-of-the-art symbolic music generation models predominantly adopt autoregressive or hierarchical autoregressive architectures, modelling symbolic music as a sequence of attribute tokens with unidirectional temporal dependencies, under the assumption of a fixed, strict dependency structure among these attributes. However, we observe that using different attributes as the initial token in these models leads to comparable performance. This suggests that the attributes of a musical not…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- Bidirectional Hierarchical Protein Multi-Modal Representation Learning
Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick Stevens

Tight Additive Sensitivity on LZ-style Compressors and String Attractors
Yuto Fujie, Hiroki Shibata, Yuto Nakashima, Shunsuke Inenaga
https://arxiv.org/abs/2506.22778

Tight Additive Sensitivity on LZ-style Compressors and String Attractors
The worst-case additive sensitivity of a string repetitiveness measure $c$ is defined to be the largest difference between $c(w)$ and $c(w')$, where $w$ is a string of length $n$ and $w'$ is a string that can be obtained by performing a single-character edit operation on $w$. We present $O(\sqrt{n})$ upper bounds for the worst-case additive sensitivity of the smallest string attractor size $γ$ and the smallest bidirectional scheme size $b$, which match the known lower bounds $Ω(\sqrt{n})$ for…

Technical Development of Two-Photon Optogenetic Stimulation and Its Potential Application to Brain-Machine Interfaces
Riichiro Hira, Yoshikazu Isomura
https://arxiv.org/abs/2508.21555

Technical Development of Two-Photon Optogenetic Stimulation and Its Potential Application to Brain-Machine Interfaces
Over the past decade, techniques enabling bidirectional modulation of neuronal activity with single cell precision have rapidly advanced in the form of two-photon optogenetic stimulation. Unlike conventional electrophysiological approaches or one-photon optogenetics, which inevitably activate many neurons surrounding the target, two-photon optogenetics can drive hundreds of specifically targeted neurons simultaneously, with stimulation patterns that can be flexibly and rapidly reconfigured. In …

The Case for a DNANF 1Pb/s Trans-Atlantic Submarine Cable
Pierluigi Poggiolini, Francesco Poletti
https://arxiv.org/abs/2509.05959 https://arxiv.org/pdf/25…

The Case for a DNANF 1Pb/s Trans-Atlantic Submarine Cable
The recent progress in low-loss hollow-core fibers allows to speculate on the possibility of building a transatlantic submarine cable that can achieve the goal of 1 Pb/s per direction, leveraging bidirectional transmission, and at the same time drastically increase span length, theoretically to 200km.

This is a surprisingly sharp price for BMW's bidirectional DC #V2G home charger. At only €1,500 more than their standard AC charging point, it's a great deal.
2175 € (vs. 699 € for the regular AC home charger)
Screenshot of BMW.de configurator

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/4]:
- BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement L...
Yunpeng Qing, Shuo Chen, Yixiao Chi, Shunyu Liu, Sixu Lin, Kelu Yao, Changqing Zou

Enabling Scalability in Asynchronous and Bidirectional Communication in LPWAN
Mahbubur Rahman
https://arxiv.org/abs/2507.17905 https://arxiv.org/pdf/2507.1…

Enabling Scalability in Asynchronous and Bidirectional Communication in LPWAN
LPWANs have become ubiquitous due to their ability to connect sensors over large geographic areas in a single hop. It is, however, very challenging to achieve massive scalability in LPWANs, where numerous sensors can transmit data efficiently and with low latency, which emerging IoT and CPS applications may require. In this paper, we address the above challenges by significantly advancing an LPWAN technology called SNOW. SNOW exploits distributed orthogonal frequency division multiplexing, D-OF…

CrossTL: A Universal Programming Language Translator with Unified Intermediate Representation
Nripesh Niketan, Vaatsalya Shrivastva
https://arxiv.org/abs/2508.21256 https://

CrossTL: A Universal Programming Language Translator with Unified Intermediate Representation
We present CrossTL, a universal programming language translator enabling bidirectional translation between multiple languages through a unified intermediate representation called CrossGL. Traditional approaches require separate translators for each language pair, leading to exponential complexity growth. CrossTL uses a single universal IR to facilitate translations between CUDA, HIP, Metal, DirectX HLSL, OpenGL GLSL, Vulkan SPIR-V, Rust, and Mojo, with Slang support in development. Our system c…

PureSample: Neural Materials Learned by Sampling Microgeometry
Zixuan Li, Zixiong Wang, Jian Yang, Milos Hasan, Beibei Wang
https://arxiv.org/abs/2508.07240 https://

PureSample: Neural Materials Learned by Sampling Microgeometry
Traditional physically-based material models rely on analytically derived bidirectional reflectance distribution functions (BRDFs), typically by considering statistics of micro-primitives such as facets, flakes, or spheres, sometimes combined with multi-bounce interactions such as layering and multiple scattering. These derivations are often complex and model-specific, and typically consider a statistical aggregate of a large surface area, ignoring spatial variation. Once an analytic BRDF's eva…

Manifestation of Quantum Forces in Spacetime: Towards a General Theory of Quantum Forces
Raheem Adom
https://arxiv.org/abs/2507.07332 https://

Manifestation of Quantum Forces in Spacetime: Towards a General Theory of Quantum Forces
This study introduces the quantum force wave equation (QFWE) as a general theory of quantum forces, a novel framework that redefines quantum forces as emergent phenomena arising from the interaction between quantum particles and curved spacetime. By coupling wavefunctions to spacetime curvature and gauge fields, the theory establishes a dynamic, bidirectional relationship between quantum states and spacetime geometry. This approach provides a unified description of quantum forces in highly curv…

“Extensive bidirectional charging functions are also available for the new BMW iX3, meaning that it can be used as an energy supply source for a variety of applications. The Vehicle-to-Load (V2L) function turns the new BMW iX3 into a mobile powerbank, which can supply electric devices with power while on the move. Vehicle-to-Home (V2H) hands it the role of storage unit for solar energy generated by home-fitted photovoltaic systems. [1/2]

The start of a new era. The new BMW iX3.
BMW presents the first series-produced Neue Klasse model. The new-generation BMW iX3 is a fully electric Sports Activity Vehicle (SAV) that gives customers their first on-the-road taste of a whole new era of Sheer Driving Pleasure. An all-new design language gives the car a character-rich appearance that faithfully conveys the technological progress made by the new model. With sixth-generation BMW eDrive technology, a range of up to 805 kilometres (500 miles) and a peak charging rate of 400 kW,…

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection
Yong Zhang, Cunjian Chen, Qiang Gao, Yi Wang, Bin Fang
https://arxiv.org/abs/2508.16397

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection
Real-time surface defect detection is critical for maintaining product quality and production efficiency in the steel manufacturing industry. Despite promising accuracy, existing deep learning methods often suffer from high computational complexity and slow inference speeds, which limit their deployment in resource-constrained industrial environments. Recent lightweight approaches adopt multibranch architectures based on depthwise separable convolution (DSConv) to capture multiscale contextual …

Hunyuan-MT Technical Report
Mao Zheng, Zheng Li, Bingxin Qu, Mingyang Song, Yang Du, Mingrui Sun, Di Wang
https://arxiv.org/abs/2509.05209 https://arxiv.or…

Hunyuan-MT Technical Report
In this report, we introduce Hunyuan-MT-7B, our first open-source multilingual translation model, which supports bidirectional translation across 33 major languages and places a special emphasis on translation between Mandarin and several ethnic minority languages as well as dialects. Furthermore, to serve and address diverse translation scenarios and enhance model performance at test time, we introduce Hunyuan-MT-Chimera-7B, a translation model inspired by the slow thinking mode. This model in…

Practical Channel Estimation for Pinching-Antenna Systems: Serial vs. Parallel and Downlink vs. Uplink?
Jian Xiao
https://arxiv.org/abs/2509.02403 https://…

Practical Channel Estimation for Pinching-Antenna Systems: Serial vs. Parallel and Downlink vs. Uplink?
The practical channel estimation in uplink pinching-antenna systems is investigated, in which an electromagnetic-compliant in-waveguide transmission model is exhibited, incorporating both bidirectional power splitting, cumulative power leakage, and waveguide attenuation. Based on this model, the paper investigates two antenna activation protocols for channel estimation: a serial protocol based on one-by-one antenna activation and a parallel protocol utilizing a binary S-Matrix activation. The s…

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation
Rongchang Zhao, Huanchi Liu, Jian Zhang
https://arxiv.org/abs/2507.01323 https://

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation
Vascular segmentation in medical images is crucial for disease diagnosis and surgical navigation. However, the segmented vascular structure is often discontinuous due to its slender nature and inadequate prior modeling. In this paper, we propose a novel Serpentine Window Mamba (SWinMamba) to achieve accurate vascular segmentation. The proposed SWinMamba innovatively models the continuity of slender vascular structures by incorporating serpentine window sequences into bidirectional state space m…

MaskBeat: Loopable Drum Beat Generation
Luca A. Lanzend\"orfer, Florian Gr\"otschla, Karim Galal, Roger Wattenhofer
https://arxiv.org/abs/2507.03395

MaskBeat: Loopable Drum Beat Generation
We present MaskBeat, a transformer-based approach for loopable drum pattern generation. Rather than predicting drum hits sequentially, our method uses bidirectional attention with iterative refinement, allowing instruments to be generated in parallel while maintaining musical coherence. Additionally, we introduce custom loss functions that capture drum-specific musical relationships. Our experiments show that MaskBeat generates higher quality and more musically coherent drum patterns than basel…

Engineering a Digital Twin for the Monitoring and Control of Beer Fermentation Sampling
Pierre-Emmanuel Goffi, Rapha\"el Tremblay, Bentley Oakes
https://arxiv.org/abs/2508.18452

Engineering a Digital Twin for the Monitoring and Control of Beer Fermentation Sampling
Successfully engineering interactive industrial DTs is a complex task, especially when implementing services beyond passive monitoring. We present here an experience report on engineering a safety-critical digital twin (DT) for beer fermentation monitoring, which provides continual sampling and reduces manual sampling time by 91%. We document our systematic methodology and practical solutions for implementing bidirectional DTs in industrial environments. This includes our three-phase engineerin…

Bidirectional Temporal Information Propagation for Moving Infrared Small Target Detection
Dengyan Luo, Yanping Xiang, Hu Wang, Luping Ji. Shuai Li, Mao Ye
https://arxiv.org/abs/2508.15415

Bidirectional Temporal Information Propagation for Moving Infrared Small Target Detection
Moving infrared small target detection is broadly adopted in infrared search and track systems, and has attracted considerable research focus in recent years. The existing learning-based multi-frame methods mainly aggregate the information of adjacent frames in a sliding window fashion to assist the detection of the current frame. However, the sliding-window-based methods do not consider joint optimization of the entire video clip and ignore the global temporal information outside the sliding w…

Unveiling the Potential of Diffusion Large Language Model in Controllable Generation
Zhen Xiong, Yujun Cai, Zhecheng Li, Yiwei Wang
https://arxiv.org/abs/2507.04504

Unveiling the Potential of Diffusion Large Language Model in Controllable Generation
Diffusion models, originally developed for image generation, have emerged as a promising alternative to autoregressive large language models (LLMs). We present a theoretical analysis comparing autoregressive and masked diffusion LLMs, revealing that the intrinsic bidirectional attention mechanism of diffusion LLMs (dLLMs) enables superior context modeling and generation controllability. However, existing dLLM applications face significant challenges in controllable generation: the native multi-…

Towards a quantum synapse for quantum sensing
L-F Pau
https://arxiv.org/abs/2508.00825 https://arxiv.org/pdf/2508.00825

Towards a quantum synapse for quantum sensing
As a step in the architectural design of a quantum processing or sensing system with control and signaling, an attempt is made at putting in parallel functional properties of the random flows between neurons through electrical synapses, and quantum particle flows inside a quantum processing system mimicking biological processes. Based on a simplified dynamic electrical synapse model, a quantum synapse circuit design is proposed. This is extended to the case of bidirectional flows through a syna…

Replaced article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
Jie Qin, Wei Yang, Yan Su, Yiran Zhu, Weizhen Li, Yunyue Pan, Chengchang Pan, Honggang Qi

Evaluating Interactions between Automated Vehicles and Cyclists using a coupled In-the-Loop Test Environment
Michael Kaiser, Clemens Gro{\ss}, Lisa Marie Otto, Steffen M\"uller
https://arxiv.org/abs/2507.21859

Evaluating Interactions between Automated Vehicles and Cyclists using a coupled In-the-Loop Test Environment
Testing and evaluating automated driving systems (ADS) in interactions with vulnerable road users (VRUs), such as cyclists, are essential for improving the safety of VRUs, but often lack realism. This paper presents and validates a coupled in-the-loop test environment that integrates a Cyclist-in-the Loop test bench with a Vehicle-in-the-Loop test bench via a virtual environment (VE) developed in Unreal Engine 5. The setup enables closed-loop, bidirectional interaction between a real human cycl…

EnerSwap: Large-Scale, Privacy-First Automated Market Maker for V2G Energy Trading
Ahmed Mounsf Rafik Bendada, Yacine Ghamri-Doudane
https://arxiv.org/abs/2508.18942 https://

EnerSwap: Large-Scale, Privacy-First Automated Market Maker for V2G Energy Trading
With the rapid growth of Electric Vehicle (EV) technology, EVs are destined to shape the future of transportation. The large number of EVs facilitates the development of the emerging vehicle-to-grid (V2G) technology, which realizes bidirectional energy exchanges between EVs and the power grid. This has led to the setting up of electricity markets that are usually confined to a small geographical location, often with a small number of participants. Usually, these markets are manipulated by inter…

Bridging Scales in Black Hole Accretion and Feedback: Relativistic Jet linking the Horizon to the Host Galaxy
Hyerin Cho, Ben S. Prather, Ramesh Narayan, Kung-Yi Su, Priyamvada Natarajan
https://arxiv.org/abs/2507.17818

Bridging Scales in Black Hole Accretion and Feedback: Relativistic Jet linking the Horizon to the Host Galaxy
Simulating black hole (BH) accretion and feedback from the horizon to galactic scales is extremely challenging, as it involves a vast range of scales. Recently, our multizone method has successfully achieved global dynamical steady-states of hot accretion flows in three-dimensional general relativistic magnetohydrodynamic (GRMHD) simulations by tracking the bidirectional interaction between a non-spinning BH and its host galaxy. In this paper, we present technical improvements to the method and…

Robust End-to-End FSO Transmission with Joint Coding Modulation and BiLSTM-Based Channel Modeling under Atmospheric Turbulence
Wei Zhang, Zhenming Yu, Hongyu Huang, Xiangyong Dong, Yan Ma, Yongli Zhao, Shanguo Huang, Kun Xu
https://arxiv.org/abs/2509.03835

Robust End-to-End FSO Transmission with Joint Coding Modulation and BiLSTM-Based Channel Modeling under Atmospheric Turbulence
Free space optical (FSO) communication is considered a promising solution in next_generation communication networks. However, its performance is significantly influenced by atmospheric turbulence. To enhance system robustness to turbulence, we propose a turbulence_robust end_to_end FSO communication system (TRFSO) that integrates a data-driven channel model with joint source_channel coding modulation (JSCCM). Specifically, a bidirectional long short-term memory (BiLSTM)_based channel model is d…

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Capacity Bounds for Broadcast Channels with Bidirectional Conferencing Decoders
Reza K. Farsani, Wei Yu

Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
Semih Eren, Deniz Kucukahmetler, Nico Scherf
https://arxiv.org/abs/2507.17897

Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
Accurately predicting distributed cortical responses to naturalistic stimuli requires models that integrate visual, auditory and semantic information over time. We present a hierarchical multimodal recurrent ensemble that maps pretrained video, audio, and language embeddings to fMRI time series recorded while four subjects watched almost 80 hours of movies provided by the Algonauts 2025 challenge. Modality-specific bidirectional RNNs encode temporal dynamics; their hidden states are fused and p…

A Multimodal Cross-View Model for Predicting Postoperative Neck Pain in Cervical Spondylosis Patients
Jingyang Shan, Qishuai Yu, Jiacen Liu, Shaolin Zhang, Wen Shen, Yanxiao Zhao, Tianyi Wang, Xiaolin Qin, Yiheng Yin
https://arxiv.org/abs/2509.02256

A Multimodal Cross-View Model for Predicting Postoperative Neck Pain in Cervical Spondylosis Patients
Neck pain is the primary symptom of cervical spondylosis, yet its underlying mechanisms remain unclear, leading to uncertain treatment outcomes. To address the challenges of multimodal feature fusion caused by imaging differences and spatial mismatches, this paper proposes an Adaptive Bidirectional Pyramid Difference Convolution (ABPDC) module that facilitates multimodal integration by exploiting the advantages of difference convolution in texture extraction and grayscale invariance, and a Feat…

Wanting to use your Renault R5 EV for bidirectional charging? DC appears to work without barriers (unlike the AC solution)
#V2G

Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems
Chengxuan Xia, Qianye Wu, Sixuan Tian, Yilun Hao
https://arxiv.org/abs/2507.17061 htt…

Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems
Large language model (LLM) agents have shown increasing promise for collaborative task completion. However, existing multi-agent frameworks often rely on static workflows, fixed roles, and limited inter-agent communication, reducing their effectiveness in open-ended, high-complexity domains. This paper proposes a coordination framework that enables adaptiveness through three core mechanisms: dynamic task routing, bidirectional feedback, and parallel agent evaluation. The framework allows agents…

Causal2Vec: Improving Decoder-only LLMs as Versatile Embedding Models
Ailiang Lin, Zhuoyun Li, Kotaro Funakoshi
https://arxiv.org/abs/2507.23386 https://ar…

Causal2Vec: Improving Decoder-only LLMs as Versatile Embedding Models
Decoder-only large language models (LLMs) are increasingly used to build embedding models that effectively encode the semantic information of natural language texts into dense vector representations for various embedding tasks. However, many existing methods primarily focus on removing the causal attention mask in LLMs to enable bidirectional attention, potentially undermining the model's ability to extract semantic information acquired during pretraining. Additionally, leading unidirectional a…

A Collusion-Resistance Privacy-Preserving Smart Metering Protocol for Operational Utility
Farid Zaredar, Morteza Amini
https://arxiv.org/abs/2508.14744 https://

A Collusion-Resistance Privacy-Preserving Smart Metering Protocol for Operational Utility
Modern grids have adopted advanced metering infrastructure (AMI) to facilitate bidirectional communication between smart meters and control centers. This enables smart meters to report consumption values at predefined intervals to utility providers for purposes including demand balancing, load forecasting, dynamic billing, and operational efficiency. Compared to traditional power grids, smart grids offer advantages such as enhanced reliability, improved energy efficiency, and increased security…

Octopus is scaling up #V2G with a bundled package that includes electric vehicle (BYD Dolphin) leasing, a bidirectional AC wallbox and a smart tariff. This guarantees 'zero charging costs' for the entire lease period.
https://octopusev.c…

Power Pack Bundle
Octopus Electric Vehicles - home of electric vehicle leasing for personal or business, and the electric car bundle, including charging and cheap renewable electricity to help you on your journey to electric.

InverTwin: Solving Inverse Problems via Differentiable Radio Frequency Digital Twin
Xingyu Chen, Jianrong Ding, Kai Zheng, Xinmin Fang, Xinyu Zhang, Chris Xiaoxuan Lu, Zhengxiong Li
https://arxiv.org/abs/2508.14204

InverTwin: Solving Inverse Problems via Differentiable Radio Frequency Digital Twin
Digital twins (DTs), virtual simulated replicas of physical scenes, are transforming various industries. However, their potential in radio frequency (RF) sensing applications has been limited by the unidirectional nature of conventional RF simulators. In this paper, we present InverTwin, an optimization-driven framework that creates RF digital twins by enabling bidirectional interaction between virtual and physical realms. InverTwin overcomes the fundamental differentiability challenges of RF o…

Closed-Form and Boundary Expressions for Task-Success Probability in Status-Driven Systems
Jianpeng Qi, Chao Liu, Rui Wang, Junyu Dong, Yanwei Yu
https://arxiv.org/abs/2507.17195

Closed-Form and Boundary Expressions for Task-Success Probability in Status-Driven Systems
Timely and efficient dissemination of server status is critical in compute-first networking systems, where user tasks arrive dynamically and computing resources are limited and stochastic. In such systems, the access point plays a key role in forwarding tasks to a server based on its latest received server status. However, modeling the task-success probability suffering the factors of stochastic arrivals, limited server capacity, and bidirectional link delays. Therefore, we introduce a unified …

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/5]:
- Image Captioning via Compact Bidirectional Architecture
Zijie Song, Yuanen Zhou, Zhenzhen Hu, Daqing Liu, Huixia Ben, Richang Hong, Meng Wang

Assembling and Modeling Stacked Disordered Metasurfaces
Miao Chen, Amit Sharma, Johann Michler, Xavier Maeder, Philippe Lalanne, Angelos Xomalis
https://arxiv.org/abs/2506.23666

Assembling and Modeling Stacked Disordered Metasurfaces
Disordered metasurfaces offer unique properties unattainable with periodic or ordered metasurfaces, notably the absence of deterministic interference effects at specific wavelengths and angles. In this work, we introduce a lithography-free nanofabrication approach to realize cascaded disordered plasmonic metasurfaces with sub-micron total thickness. We experimentally characterize their angle-resolved specular and diffuse reflections using the bidirectional reflection distribution function (BRDF…

DIFFA: Large Language Diffusion Models Can Listen and Understand
Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li, Enzhi Wang, Yujie Guo, Haoqin Sun, Hui Wang, Aobo Kong, Yong Qin, Xuelong Li
https://arxiv.org/abs/2507.18452

DIFFA: Large Language Diffusion Models Can Listen and Understand
Recent advances in Large language models (LLMs) have shown remarkable capabilities across textual and multimodal domains. In parallel, diffusion-based language models have emerged as a promising alternative to the autoregressive paradigm, offering improved controllability, bidirectional context modeling, and robust generation. However, their application to the audio modality remains underexplored. In this work, we introduce \textbf{DIFFA}, the first diffusion-based Large Audio-Language Model de…

Diffusion Language Models Know the Answer Before Decoding
Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu
https://arxiv.org/abs/2508.19982

Diffusion Language Models Know the Answer Before Decoding
Diffusion language models (DLMs) have recently emerged as an alternative to autoregressive approaches, offering parallel sequence generation and flexible token orders. However, their inference remains slower than that of autoregressive models, primarily due to the cost of bidirectional attention and the large number of refinement steps required for high quality outputs. In this work, we highlight and leverage an overlooked property of DLMs early answer convergence: in many cases, the correct an…

A Lightweight Privacy-Preserving Smart Metering Billing Protocol with Dynamic Tariff Policy Adjustment
Farid Zaredar, Morteza Amini
https://arxiv.org/abs/2508.14815 https://

A Lightweight Privacy-Preserving Smart Metering Billing Protocol with Dynamic Tariff Policy Adjustment
The integration of information and communication technology (ICT) with traditional power grids has led to the emergence of smart grids. Advanced metering infrastructure (AMI) plays a crucial role in smart grids by facilitating two-way communication between smart meters and the utility provider. This bidirectional communication allows intelligent meters to report fine-grained consumption data at predefined intervals, enabling accurate billing, efficient grid monitoring and management, and rapid …

EAI-Avatar: Emotion-Aware Interactive Talking Head Generation
Haijie Yang, Zhenyu Zhang, Hao Tang, Jianjun Qian, Jian Yang
https://arxiv.org/abs/2508.18337 https://

EAI-Avatar: Emotion-Aware Interactive Talking Head Generation
Generative models have advanced rapidly, enabling impressive talking head generation that brings AI to life. However, most existing methods focus solely on one-way portrait animation. Even the few that support bidirectional conversational interactions lack precise emotion-adaptive capabilities, significantly limiting their practical applicability. In this paper, we propose EAI-Avatar, a novel emotion-aware talking head generation framework for dyadic interactions. Leveraging the dialogue genera…

Detection of Adverse Drug Events in Dutch clinical free text documents using Transformer Models: benchmark study
Rachel M. Murphy (Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands), Nishant Mishra (Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands), Nicolette F. de Keizer (Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, T…

Detection of Adverse Drug Events in Dutch clinical free text documents using Transformer Models: benchmark study
In this study, we set a benchmark for adverse drug event (ADE) detection in Dutch clinical free text documents using several transformer models, clinical scenarios and fit-for-purpose performance measures. We trained a Bidirectional Long Short-Term Memory (Bi-LSTM) model and four transformer-based Dutch and/or multilingual encoder models (BERTje, RobBERT, MedRoBERTa.nl, and NuNER) for the tasks of named entity recognition (NER) and relation classification (RC) using 102 richly annotated Dutch I…