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@digitalnaiv@mastodon.social
2025-11-20 15:01:10

Wer als Sportler über Talent, Fleiß und Ehrgeiz verfügt, braucht kein Doping. Wer als Blogger mit Herz und Seele schreibt, der braucht seine Texte nicht von der KI schreiben zu lassen, meint @Blogissimo
Nicht von #KI schreiben lassen, aber die Potentiale nutzen, finde ich.

@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:55:06

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[5/5]:
- CLAReSNet: When Convolution Meets Latent Attention for Hyperspectral Image Classification
Asmit Bandyopadhyay, Anindita Das Bhattacharjee, Rakesh Das
arxiv.org/abs/2511.12346 mastoxiv.page/@arXiv_csCV_bot/
- Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without ...
Dimitris Oikonomou, Nicolas Loizou
arxiv.org/abs/2512.02342 mastoxiv.page/@arXiv_mathOC_bo
- Predictive Modeling of I/O Performance for Machine Learning Training Pipelines: A Data-Driven App...
Karthik Prabhakar, Durgamadhab Mishra
arxiv.org/abs/2512.06699 mastoxiv.page/@arXiv_csPF_bot/
- Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translat...
Lyu, Song, Kamigaito, Ding, Tanaka, Utiyama, Funakoshi, Okumura
arxiv.org/abs/2512.07540 mastoxiv.page/@arXiv_csCL_bot/
- In-Context Learning for Seismic Data Processing
Fabian Fuchs, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper
arxiv.org/abs/2512.11575 mastoxiv.page/@arXiv_csCV_bot/
- Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking
Rheeya Uppaal, Phu Mon Htut, Min Bai, Nikolaos Pappas, Zheng Qi, Sandesh Swamy
arxiv.org/abs/2512.12218 mastoxiv.page/@arXiv_csCV_bot/
- Non-Resolution Reasoning (NRR): A Computational Framework for Contextual Identity and Ambiguity P...
Kei Saito
arxiv.org/abs/2512.13478 mastoxiv.page/@arXiv_csCL_bot/
- Stylized Synthetic Augmentation further improves Corruption Robustness
Georg Siedel, Rojan Regmi, Abhirami Anand, Weijia Shao, Silvia Vock, Andrey Morozov
arxiv.org/abs/2512.15675 mastoxiv.page/@arXiv_csCV_bot/
- mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
Jonas Pai, Liam Achenbach, Victoriano Montesinos, Benedek Forrai, Oier Mees, Elvis Nava
arxiv.org/abs/2512.15692 mastoxiv.page/@arXiv_csRO_bot/
toXiv_bot_toot

@arXiv_statML_bot@mastoxiv.page
2025-10-13 08:32:00

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
arxiv.org/abs/2510.08929

@whitequark@mastodon.social
2025-10-28 00:14:47

Sustaining Life on Planet Earth: Metalloenzymes Mastering Dioxygen and Other Chewy Gases link.springer.com/book/10.1007

@arXiv_csAI_bot@mastoxiv.page
2025-10-15 12:19:10

Crosslisted article(s) found for cs.AI. arxiv.org/list/cs.AI/new
[2/6]:
- Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
Rizal Fathony, Igor Melnyk, Owen Reinert, Nam H. Nguyen, Daniele Rosa, C. Bayan Bruss

@arXiv_csCV_bot@mastoxiv.page
2025-10-14 22:04:25

Replaced article(s) found for cs.CV. arxiv.org/list/cs.CV/new
[5/8]:
- Context Guided Transformer Entropy Modeling for Video Compression
Junlong Tong, Wei Zhang, Yaohui Jin, Xiaoyu Shen

@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:54:45

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[3/5]:
- Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-D\"unner
arxiv.org/abs/2511.14745 mastoxiv.page/@arXiv_csLG_bot/
- Deep Gaussian Process Proximal Policy Optimization
Matthijs van der Lende, Juan Cardenas-Cartagena
arxiv.org/abs/2511.18214 mastoxiv.page/@arXiv_csLG_bot/
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Akira Tamamori
arxiv.org/abs/2511.23083 mastoxiv.page/@arXiv_csLG_bot/
- xGR: Efficient Generative Recommendation Serving at Scale
Sun, Liu, Zhang, Wu, Yang, Liang, Li, Ma, Liang, Ren, Zhang, Liu, Zhang, Qian, Yang
arxiv.org/abs/2512.11529 mastoxiv.page/@arXiv_csLG_bot/
- Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Atalay Denknalbant, Emre Sezdi, Zeki Furkan Kutlu, Polat Goktas
arxiv.org/abs/2512.12783 mastoxiv.page/@arXiv_csLG_bot/
- The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Debu Sinha
arxiv.org/abs/2512.15068 mastoxiv.page/@arXiv_csLG_bot/
- Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
Stritzel, H\"uhnerbein, Rauch, Zarate, Fleischmann, Buck, Lischka, Frey
arxiv.org/abs/2512.16715 mastoxiv.page/@arXiv_csLG_bot/
- Differentially private Bayesian tests
Abhisek Chakraborty, Saptati Datta
arxiv.org/abs/2401.15502 mastoxiv.page/@arXiv_statML_bo
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
arxiv.org/abs/2402.04114
- Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
arxiv.org/abs/2408.07588 mastoxiv.page/@arXiv_statML_bo
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
arxiv.org/abs/2410.13161 mastoxiv.page/@arXiv_heplat_bo
- Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Sun, Zhang, Xia, Sun, Chen, Yang, Liu, Zhu, Liu
arxiv.org/abs/2410.22674 mastoxiv.page/@arXiv_eessIV_bo
- Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
arxiv.org/abs/2411.02221 mastoxiv.page/@arXiv_statML_bo
- Refined Analysis of Federated Averaging and Federated Richardson-Romberg
Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
arxiv.org/abs/2412.01389 mastoxiv.page/@arXiv_statML_bo
- Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
arxiv.org/abs/2412.12667 mastoxiv.page/@arXiv_csCV_bot/
- 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
Peter Chen, Bryan Chang, Olivia A Creasey, Julie Beth Sneddon, Zev J Gartner, Yining Liu
arxiv.org/abs/2502.01890 mastoxiv.page/@arXiv_csCV_bot/
- DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
arxiv.org/abs/2502.01956 mastoxiv.page/@arXiv_csRO_bot/
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
Diana Koldasbayeva, Alexey Zaytsev
arxiv.org/abs/2502.03480
- GraphCompNet: A Position-Aware Model for Predicting and Compensating Shape Deviations in 3D Printing
Juheon Lee (Rachel), Lei (Rachel), Chen, Juan Carlos Catana, Hui Wang, Jun Zeng
arxiv.org/abs/2502.09652 mastoxiv.page/@arXiv_csCV_bot/
- LookAhead Tuning: Safer Language Models via Partial Answer Previews
Liu, Wang, Luo, Yuan, Sun, Liang, Zhang, Zhou, Hooi, Deng
arxiv.org/abs/2503.19041 mastoxiv.page/@arXiv_csCL_bot/
- Constraint-based causal discovery with tiered background knowledge and latent variables in single...
Christine W. Bang, Vanessa Didelez
arxiv.org/abs/2503.21526 mastoxiv.page/@arXiv_statML_bo
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:54:35

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/5]:
- The Diffusion Duality
Sahoo, Deschenaux, Gokaslan, Wang, Chiu, Kuleshov
arxiv.org/abs/2506.10892 mastoxiv.page/@arXiv_csLG_bot/
- Multimodal Representation Learning and Fusion
Jin, Ge, Xie, Luo, Song, Bi, Liang, Guan, Yeong, Song, Hao
arxiv.org/abs/2506.20494 mastoxiv.page/@arXiv_csLG_bot/
- The kernel of graph indices for vector search
Mariano Tepper, Ted Willke
arxiv.org/abs/2506.20584 mastoxiv.page/@arXiv_csLG_bot/
- OptScale: Probabilistic Optimality for Inference-time Scaling
Youkang Wang, Jian Wang, Rubing Chen, Xiao-Yong Wei
arxiv.org/abs/2506.22376 mastoxiv.page/@arXiv_csLG_bot/
- Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods
Fabian Akkerman, Julien Ferry, Christian Artigues, Emmanuel Hebrard, Thibaut Vidal
arxiv.org/abs/2507.18242 mastoxiv.page/@arXiv_csLG_bot/
- MolMark: Safeguarding Molecular Structures through Learnable Atom-Level Watermarking
Runwen Hu, Peilin Chen, Keyan Ding, Shiqi Wang
arxiv.org/abs/2508.17702 mastoxiv.page/@arXiv_csLG_bot/
- Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Protot...
Fatema Siddika, Md Anwar Hossen, Wensheng Zhang, Anuj Sharma, Juan Pablo Mu\~noz, Ali Jannesari
arxiv.org/abs/2508.19009 mastoxiv.page/@arXiv_csLG_bot/
- STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
Gary Simethy, Daniel Ortiz-Arroyo, Petar Durdevic
arxiv.org/abs/2508.19011 mastoxiv.page/@arXiv_csLG_bot/
- EEGDM: Learning EEG Representation with Latent Diffusion Model
Shaocong Wang, Tong Liu, Yihan Li, Ming Li, Kairui Wen, Pei Yang, Wenqi Ji, Minjing Yu, Yong-Jin Liu
arxiv.org/abs/2508.20705 mastoxiv.page/@arXiv_csLG_bot/
- Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
Xiao Zhang, Zengzhe Chen, Yuan Yuan, Yifei Zou, Fuzhen Zhuang, Wenyu Jiao, Yuke Wang, Dongxiao Yu
arxiv.org/abs/2509.25977 mastoxiv.page/@arXiv_csLG_bot/
- Fine-Tuning Masked Diffusion for Provable Self-Correction
Jaeyeon Kim, Seunggeun Kim, Taekyun Lee, David Z. Pan, Hyeji Kim, Sham Kakade, Sitan Chen
arxiv.org/abs/2510.01384 mastoxiv.page/@arXiv_csLG_bot/
- A Generic Machine Learning Framework for Radio Frequency Fingerprinting
Alex Hiles, Bashar I. Ahmad
arxiv.org/abs/2510.09775 mastoxiv.page/@arXiv_csLG_bot/
- ASecond-Order SpikingSSM for Wearables
Kartikay Agrawal, Abhijeet Vikram, Vedant Sharma, Vaishnavi Nagabhushana, Ayon Borthakur
arxiv.org/abs/2510.14386 mastoxiv.page/@arXiv_csLG_bot/
- Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
arxiv.org/abs/2510.16882 mastoxiv.page/@arXiv_csLG_bot/
- Seeing Structural Failure Before it Happens: An Image-Based Physics-Informed Neural Network (PINN...
Omer Jauhar Khan, Sudais Khan, Hafeez Anwar, Shahzeb Khan, Shams Ul Arifeen
arxiv.org/abs/2510.23117 mastoxiv.page/@arXiv_csLG_bot/
- Training Deep Physics-Informed Kolmogorov-Arnold Networks
Spyros Rigas, Fotios Anagnostopoulos, Michalis Papachristou, Georgios Alexandridis
arxiv.org/abs/2510.23501 mastoxiv.page/@arXiv_csLG_bot/
- Semi-Supervised Preference Optimization with Limited Feedback
Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song
arxiv.org/abs/2511.00040 mastoxiv.page/@arXiv_csLG_bot/
- Towards Causal Market Simulators
Dennis Thumm, Luis Ontaneda Mijares
arxiv.org/abs/2511.04469 mastoxiv.page/@arXiv_csLG_bot/
- Incremental Generation is Necessary and Sufficient for Universality in Flow-Based Modelling
Hossein Rouhvarzi, Anastasis Kratsios
arxiv.org/abs/2511.09902 mastoxiv.page/@arXiv_csLG_bot/
- Optimizing Mixture of Block Attention
Guangxuan Xiao, Junxian Guo, Kasra Mazaheri, Song Han
arxiv.org/abs/2511.11571 mastoxiv.page/@arXiv_csLG_bot/
- Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin, Jan Wolber, Ke Li
arxiv.org/abs/2511.12817 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@arXiv_csAI_bot@mastoxiv.page
2025-10-14 17:29:40

Crosslisted article(s) found for cs.AI. arxiv.org/list/cs.AI/new
[14/17]:
- HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
Shuwei Chen, Jiajun Cui, Zhengqi Xu, Fan Zhang, Jiangke Fan, Teng Zhang, Xingxing Wang

@arXiv_csLG_bot@mastoxiv.page
2025-10-13 10:46:40

BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
Sangyun Lee, Brandon Amos, Giulia Fanti
arxiv.org/abs/2510.09596