Tootfinder

Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images
Sebastian Ibarra, Javier del Riego, Alessandro Catanese, Julian Cuba, Julian Cardona, Nataly Leon, Jonathan Infante, Karim Lekadir, Oliver Diaz, Richard Osuala
https://arxiv.org/abs/2508.13776

Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images
Dynamic contrast-enhanced (DCE) MRI is essential for breast cancer diagnosis and treatment. However, its reliance on contrast agents introduces safety concerns, contraindications, increased cost, and workflow complexity. To this end, we present pre-contrast conditioned denoising diffusion probabilistic models to synthesize DCE-MRI, introducing, evaluating, and comparing a total of 22 generative model variants in both single-breast and full breast settings. Towards enhancing lesion fidelity, we …

For some reason the combination of 160K and my Mitutoyo 100x/0.90 objective means that as the last bits of ILD begin to etch away, substrate features become *less* visible.
I expected to see strong contrast at edges of substrate features when the ILD was etched away despite poly, STI trenches, and diffusion areas all being the same material (silicon).
But that's not what I'm seeing.
Going back to my archives, though, most of my good full die 100x shots are with the …

Moody Urbanity - Manmade Confinements ⛑️
情绪化城市 - 人造禁锢 ⛑️
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

Quasi-Minnaert Resonances in High-contrast acoustic Structures and Applications to Invisibility Cloaking
Weisheng Zhou, Huaian Diao, Hongyu Liu
https://arxiv.org/abs/2508.13659 …

Quasi-Minnaert Resonances in High-contrast acoustic Structures and Applications to Invisibility Cloaking
This paper investigates a novel quasi-Minnaert resonance phenomenon in acoustic wave propagation through high-contrast medium in both two and three dimensions, occurring in the sub-wavelength regime. These media are characterized by physical properties significantly distinct from those of a homogeneous background. The quasi-Minnaert resonance is defined by two primary features: boundary localization, where the $L^2$-norms of the internal total field and the external scattered field exhibit pron…

Find the best contrast between one color and a list of options, e.g. for labels in geom_tile: {prismatic::best_contrast()} https://emilhvitfeldt.github.io/prismatic/reference/best_contrast.html

Impulsive excitation of a solid by extreme contrast, high intensity femtosecond laser pulses
Sagar Dam, Jian Fuh Ong, Sk Rakeeb, Ameya Parab, Aparajit C, Anandam, Amit D Lad, Yash M Ved, M Krishnamurthy, Kazuo A Tanaka, G Ravindra Kumar
https://arxiv.org/abs/2508.13649

Impulsive excitation of a solid by extreme contrast, high intensity femtosecond laser pulses
We present the ultra-fast dynamics of the interaction between a high-intensity extreme contrast (expected to be around 1e-18 at hundreds of picoseconds timescale) femtosecond laser and a solid. Simultaneous measurements of probe Doppler spectrometry and reflectivity in pump-probe experiments reveal the presence of extreme pressure in the solid density region, which triggers a long-lived (about 15 ps) strong inward shock. Hydrodynamic simulations accurately replicate these observations, providin…

Accuracy of propagation-based phase-contrast CT under the projection approximation
Giavanna Jadick, Patrick La Rivi\`ere
https://arxiv.org/abs/2508.12505 https://

Accuracy of propagation-based phase-contrast CT under the projection approximation
X-ray phase-contrast imaging has the potential to improve image contrast with lower dose by probing an object's refractive properties as well as its absorptive properties. To reconstruct a phase-contrast image from a raw dataset, a phase retrieval algorithm must be applied to invert the forward model of the image acquisition scheme. Discrete forward modeling presents unique computational challenges due to high x-ray wave field sampling requirements. At the cost of accuracy, approximations are o…

Whichdom is much stronger than Whizdom.
Compare and contrast.

These three cute small trees just arrived, to join their relative, a nearly black Sambuca Negra. I discovered these pale yellow variants online and am planning on planting them together with the other one for the beautiful contrast.
(Shame about the plastic, but what a fantastic way to be able to try out plants that aren't available locally)

Day 26: Emily Short
If you know who Short is, you know exactly why she's on this list. If you don't, you're probably in the majority. She's an absolutely legendary author within the interactive fiction (IF) community, which gets somewhat pigeonholed by stuff like Zork when there's actually a huge range of stuff in the medium some of which isn't even puzzle-focused, and Short has been writing & coding on the bleeding edge of things for decades.
I was lucky enough to be introduced to Short's work in graduate school, where we played "Galatea" as part of an interactive fiction class. Short uses a lot of clever parser tricks to make your conversation with a statue feel very fluid and conversational, giving to contemporary audiences a great example of how vibrant interaction with a well-designed agent can be in contrast to an LLM, if you're willing to put in some work on bespoke parsing & responses (although the user does need to know basic IF conventions). While I didn't explore the full range of Galatea's many possible outcomes, it left a strong impression on me as a vision for what IF could be besides dorky puzzles, and I think that "visionary" is a great term to describe Short.
If you'd like you get a feel for her (very early) work, you can play Galatea here: #30AuthorsNoMen

Series A, Episode 04 - Time Squad
BLAKE: [Laughs slightly] More interesting is where it was going and why. Let's see if Avon's got any ideas.
[Interior. Alien projectile]
BLAKE: [To Avon] What do you Think?
https://blake.torpidity.net/m/104/227 B7B5

4DNeX: Feed-Forward 4D Generative Modeling Made Easy
Zhaoxi Chen, Tianqi Liu, Long Zhuo, Jiawei Ren, Zeng Tao, He Zhu, Fangzhou Hong, Liang Pan, Ziwei Liu
https://arxiv.org/abs/2508.13154

4DNeX: Feed-Forward 4D Generative Modeling Made Easy
We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on computationally intensive optimization or require multi-frame video inputs, 4DNeX enables efficient, end-to-end image-to-4D generation by fine-tuning a pretrained video diffusion model. Specifically, 1) to alleviate the scarcity of 4D data, we construct 4DNeX-10M, a large-scale dataset with high-quality 4D annotations gen…

Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling
Nikolai Antonov, Pr\v{e}mysl \v{S}\r{u}cha, Mikol\'a\v{s} Janota, Jan H\r{u}la
https://arxiv.org/abs/2508.13703

Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling
Existing research on single-machine scheduling is largely focused on exact algorithms, which perform well on typical instances but can significantly deteriorate on certain regions of the problem space. In contrast, data-driven approaches provide strong and scalable performance when tailored to the structure of specific datasets. Leveraging this idea, we focus on a single-machine scheduling problem where each job is defined by its weight, duration, due date, and deadline, aiming to minimize the …

[Social] Allostasis: Or, How I Learned To Stop Worrying and Love The Noise
Imran Khan
https://arxiv.org/abs/2508.12791 https://arxiv.org/pdf/2508.12791

[Social] Allostasis: Or, How I Learned To Stop Worrying and Love The Noise
The notion of homeostasis typically conceptualises biological and artificial systems as maintaining stability by resisting deviations caused by environmental and social perturbations. In contrast, (social) allostasis proposes that these systems can proactively leverage these very perturbations to reconfigure their regulatory parameters in anticipation of environmental demands, aligning with von Foerster's ``order through noise'' principle. This paper formulates a computational model of allostat…

Beyond Human Judgment: A Bayesian Evaluation of LLMs' Moral Values Understanding
Maciej Skorski, Alina Landowska
https://arxiv.org/abs/2508.13804 https://

Beyond Human Judgment: A Bayesian Evaluation of LLMs' Moral Values Understanding
How do large language models understand moral dimensions compared to humans? This first large-scale Bayesian evaluation of market-leading language models provides the answer. In contrast to prior work using deterministic ground truth (majority or inclusion rules), we model annotator disagreements to capture both aleatoric uncertainty (inherent human disagreement) and epistemic uncertainty (model domain sensitivity). We evaluate top language models (Claude Sonnet 4, DeepSeek-V3, Llama 4 Maveri…

Report: at an xAI meeting, Elon Musk and his executives said the Grok chatbot has 64M monthly users; OpenAI said in August that ChatGPT had 700M weekly users (Theo Wayt/The Information)
https://www.theinformation.com/briefings/elon-musks-xai-says-gr…

Elon Musk’s xAI Says Grok Has 64 Million Monthly Users
Elon Musk’s xAI told staff this week that its Grok chatbot has 64 million monthly users, the New York Times reported on Thursday. By contrast, OpenAI said in August that ChatGPT had hit 700 million weekly users, while Google CEO Sundar Pichai said in July that its Gemini app had 450 million monthly users. xAI also has a much smaller enterprise business than OpenAI or Google. Musk pushed

I’m old enough to remember `-ms-high-contrast-adjust: none;` to remove the backplate that Edge added in 2016 (pre-Chromiedge).
Not surprised its `forced-colors` version is frustrating authors:
“forced-color-adjust: none is an unavoidable foot gun”
https://sarahmhigley.com/writing/force

forced-color-adjust: none is an unavoidable foot gun | Sarah Higley
A very long treatise on why text backplates were a bad idea. Most of the time.

Imaging of electrical signals in a quantum SiC microscope
A. Suhana, T. A. U. Svetikova, C. Schneider, M. Helm, A. N. Anisimov, G. V. Astakhov
https://arxiv.org/abs/2509.14888 h…

Imaging of electrical signals in a quantum SiC microscope
We report the experimental realization of a quantum silicon carbide microscope (QSiCM) and demonstrate its functionality by imaging magnetic fields generated by electrical currents. We employ a dual-frequency sensing protocol to enhance the readout contrast and suppress noise arising from strain and temperature fluctuations. This approach enables spatial imaging of current-induced magnetic fields with a field of view of $50 \times 50 $ virtual pixels, temporal resolution of $50\,\mathrm{ms}$, s…

Garden Aloft II ⛲️
空中花园 II ⛲️
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph
Hecheng Wang, Jiankun Ren, Jia Yu, Lizhe Qi, Yunquan Sun
https://arxiv.org/abs/2508.12916

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph
Humans effortlessly retrieve objects in cluttered, partially observable environments by combining visual reasoning, active viewpoint adjustment, and physical interaction-with only a single pair of eyes. In contrast, most existing robotic systems rely on carefully positioned fixed or multi-camera setups with complete scene visibility, which limits adaptability and incurs high hardware costs. We present \textbf{RoboRetriever}, a novel framework for real-world object retrieval that operates using …

Involuntary Jailbreak
Yangyang Guo, Yangyan Li, Mohan Kankanhalli
https://arxiv.org/abs/2508.13246 https://arxiv.org/pdf/2508.13246

Involuntary Jailbreak
In this study, we disclose a worrying new vulnerability in Large Language Models (LLMs), which we term \textbf{involuntary jailbreak}. Unlike existing jailbreak attacks, this weakness is distinct in that it does not involve a specific attack objective, such as generating instructions for \textit{building a bomb}. Prior attack methods predominantly target localized components of the LLM guardrail. In contrast, involuntary jailbreaks may potentially compromise the entire guardrail structure, whic…

Massive spin 3 and Metric-Affine Gravity
Roberto Percacci, Ergin Sezgin
https://arxiv.org/abs/2508.14211 https://arxiv.org/pdf/2508.14211

Massive spin 3 and Metric-Affine Gravity
Symmetric Metric-Affine Gravity is a theory of gravity with an independent non-metric connection, and zero torsion. It can be thought of as ordinary metric gravity coupled to a rank-three tensor Q, symmetric in one pair of indices. This field carries a spin-three degree of freedom. We find that, in contrast to the totally symmetric case, it is possible to arrange the parameters in the Lagrangian, so that, at the linearized level, the spin-three state, either alone or in combination with a spin-…

@…
I'm using the Beta 7 version on my iPhone. I tapped the translate button on a post and got four quick vibrations plus this white on red popup. My lousy vision couldn't begin to guess what it said.
Please make your error messages simple and high-contrast, in the user-selected dark/light mode!

Is Transfer Learning Necessary for Violin Transcription?
Yueh-Po Peng, Ting-Kang Wang, Li Su, Vincent K. M. Cheung
https://arxiv.org/abs/2508.13516 https://

Is Transfer Learning Necessary for Violin Transcription?
Automatic music transcription (AMT) has achieved remarkable progress for instruments such as the piano, largely due to the availability of large-scale, high-quality datasets. In contrast, violin AMT remains underexplored due to limited annotated data. A common approach is to fine-tune pretrained models for other downstream tasks, but the effectiveness of such transfer remains unclear in the presence of timbral and articulatory differences. In this work, we investigate whether training from scra…

Gluon Polarimetry with Energy-Energy Correlators
Yu-Kun Song, Shu-Yi Wei, Lei Yang, Jian Zhou
https://arxiv.org/abs/2509.14960 https://arxiv.org/pdf/2509.1…

Gluon Polarimetry with Energy-Energy Correlators
We propose a novel method to probe gluon linear polarization via energy correlations in hard scattering processes. This approach exploits the characteristic $\cos 2ϕ$ azimuthal modulation in single- and two-point energy correlations within jets initiated by polarized gluons. In contrast to conventional techniques that rely on $k_t$ resummation or intricate jet substructure observables, our method offers a theoretically robust and experimentally accessible avenue for gluon polarimetry. We perfo…

On contact Hamiltonian functions of singular contact structures
Hoseob Seo
https://arxiv.org/abs/2508.13613 https://arxiv.org/pdf/2508.13613

On contact Hamiltonian functions of singular contact structures
For contact manifolds, it is well-known that the map which assigns to an infinitesimal contact transformation its contact Hamiltonian function is a linear isomorphism, and an explicit local formula for its inverse can be given. In contrast, infinitesimal contact transformations on a singular contact structure have not been well-studied yet. In this article, we show that this map is injective and present an explicit local formula for its inverse when the contact structure has singularities of th…

Hybrid Table-Assisted and RL-Based Dynamic Routing for NGSO Satellite Networks
Flor Ortiz, Eva Lagunas
https://arxiv.org/abs/2509.14909 https://arxiv.org/p…

Hybrid Table-Assisted and RL-Based Dynamic Routing for NGSO Satellite Networks
This letter investigates dynamic routing in Next-Generation Satellite Orbit (NGSO) constellations and proposes a hybrid strategy that combines precomputed routing tables with a Deep Q-Learning (DQL) fallback mechanism. While fully RL-based schemes offer adaptability to topology dynamics, they often suffer from high complexity, long convergence times, and unstable performance under heavy traffic. In contrast, the proposed framework exploits deterministic table lookups under nominal conditions an…

Phase Transitions of Electromagnetically Charged Black Holes in Lovelock Gravity with Nonconstant Curvature Horizons
N. Farhangkhah, S. Hajkhalili
https://arxiv.org/abs/2508.13221

Phase Transitions of Electromagnetically Charged Black Holes in Lovelock Gravity with Nonconstant Curvature Horizons
We present the most general class of charged black hole solutions in third-order Lovelock gravity within even-dimensional spacetimes in the presence of an electromagnetic field. These solutions feature nonconstant-curvature horizons that affect geometry when n>=8. The near-origin behavior of the metric reveals a timelike singularity for electrically charged cases, in contrast to the spacelike singularity found in the uncharged case. We investigate thermodynamic stability in both the grand canon…

Atomistic mechanisms of phase transitions in all-temperature barocaloric material KPF$_6$
Jiantao Wang, Yi-Chi Zhang, Yan Liu, Hongkun Deng, Mingfeng Liu, Yan Sun, Bing Li, Xing-Qiu Chen, Peitao Liu
https://arxiv.org/abs/2508.13862

Atomistic mechanisms of phase transitions in all-temperature barocaloric material KPF$_6$
Conventional barocaloric materials typically exhibit limited operating temperature ranges. In contrast, KPF$_6$ has recently been reported to achieve an exceptional all-temperature barocaloric effect (BCE) via pressure-driven phase transitions. Here, we elucidate the atomistic mechanisms underlying the phase transitions through first-principles calculations and machine-learning potential accelerated molecular dynamics simulations. We identify four distinct phases: the room-temperature cubic (C)…

Exponential quintessence with momentum coupling to dark matter
Alkistis Pourtsidou
https://arxiv.org/abs/2509.15091 https://arxiv.org/pdf/2509.15091…

Exponential quintessence with momentum coupling to dark matter
We present updated constraints on an interacting dark energy - dark matter model with pure momentum transfer, where dark energy is in the form of a quintessence scalar field with an exponential potential. We run a suite of MCMC analyses using the DESI DR2 BAO measurements, in combination with CMB data from Planck and supernovae data from DESY5. In contrast to the standard case of uncoupled quintessence, we find that values for the potential's slope parameter $λ\geq \sqrt{2}$, which are conject…

Generalized Algebra Grounded on Nonadditive Entropies
Leandro Lyra Braga Dognini, Constantino Tsallis
https://arxiv.org/abs/2508.13324 https://arxiv.org/pd…

Generalized Algebra Grounded on Nonadditive Entropies
A $N$-body system is simple if all associated physically relevant space-time correlations are short-ranged, meaning that their momenta of all orders are finite. Such systems typically have a total number $W$ of admissible microscopic configurations which grows with $N$ as $W(N) \sim μ^N\;(μ>1, \, N\to\infty)$. Their thermostatistical properties are known to be satisfactorily handled within Boltzmann-Gibbs (BG) statistical mechanics. In contrast, a system is complex if one or more associated c…

High-Throughput Low-Cost Segmentation of Brightfield Microscopy Live Cell Images
Surajit Das, Gourav Roy, Pavel Zun
https://arxiv.org/abs/2508.14106 https://

High-Throughput Low-Cost Segmentation of Brightfield Microscopy Live Cell Images
Live cell culture is crucial in biomedical studies for analyzing cell properties and dynamics in vitro. This study focuses on segmenting unstained live cells imaged with bright-field microscopy. While many segmentation approaches exist for microscopic images, none consistently address the challenges of bright-field live-cell imaging with high throughput, where temporal phenotype changes, low contrast, noise, and motion-induced blur from cellular movement remain major obstacles. We developed a l…

Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
Prateek Ranka, Fred Morstatter, Andrea Belz, Alexandra Graddy-Reed
https://arxiv.org/abs/2508.13182

Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
Classification of scientific abstracts is useful for strategic activities but challenging to automate because the sparse text provides few contextual clues. Metadata associated with the scientific publication can be used to improve performance but still often requires a semi-supervised setting. Moreover, such schemes may generate labels that lack distinction -- namely, they overlap and thus do not uniquely define the abstract. In contrast, experts label and sort these texts with ease. Here we d…

Granular focused jet
Kazuya U. Kobayashi, Pradipto, Yoshiyuki Tagawa
https://arxiv.org/abs/2508.11905 https://arxiv.org/pdf/2508.11905

Granular focused jet
We investigated the formation of granular focused jets defined as narrow upward ejections of grains triggered by impulsive forces and shaped by kinematic focusing on a concave free surface. The jets were generated from nonfluidized granular beds, in contrast to existing granular Worthington jets that originate from fluidized layers. To elucidate the jet dynamics, we performed experiments in which a test tube partially filled with dry glass beads was dropped onto a flat rigid floor, systematical…

Global well-posedness for the Keller--Segel--Navier--Stokes system with nonlinear boundary conditions
Taiki Takeuchi, Keiichi Watanabe
https://arxiv.org/abs/2507.13684

Global well-posedness for the Keller--Segel--Navier--Stokes system with nonlinear boundary conditions
In this paper, we consider the Keller--Segel--Navier--Stokes system with nonlinear boundary conditions in a bounded smooth (and not necessarily convex) domain $Ω\subset \mathbb{R}^N$, $N \ge 2$, where the chemotactic sensitivity $S$ is assumed to have values in $\mathbb{R}^{N \times N}$ which accounts for rotational fluxes. In contrast to the case where $S$ is a scalar-valued function (or $S$ is the identity matrix), in our system, the normal derivative for the density $n$ of the cell is given…

Quelle surprise: seriöse Webseiten blocken den Zugang für KI-Trainingszugriff eher als Seiten, deren Zweck der Desinformation dient.
https://arxiv.org/abs/2510.10315

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/10]:
- CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision
Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

Whil I'm editing photos from our vacation I quickly share this from last year for #WaterfallWednesday .
Enjoy!
#photography #nature

Quantum Many-Body Simulations of Catalytic Metal Surfaces
Changsu Cao, Hung Q. Pham, Zhen Guo, Yutan Zhang, Zigeng Huang, Xuelan Wen, Ji Chen, Dingshun Lv
https://arxiv.org/abs/2508.13036

Quantum Many-Body Simulations of Catalytic Metal Surfaces
Accurate quantum simulations of catalysis on metal surfaces are critical for advancing energy and materials science. Yet most existing methods fall short: density functional theory (DFT), although widely used for its computational efficiency, often lacks the accuracy needed for adsorption and reaction energetics at heterogeneous metal surfaces. Wavefunction-based theories, in contrast, are more accurate in principle but remain prohibitively costly when applied to realistic catalytic systems. He…

Inducing macroscopic cat states of nonequilibrium electrons via cat-state light irradiation and projective measurements
Shohei Imai
https://arxiv.org/abs/2508.11769 https://

Inducing macroscopic cat states of nonequilibrium electrons via cat-state light irradiation and projective measurements
We show that projective measurements on quantum light can induce macroscopic cat states in many-electron systems driven by large-amplitude cat-state light. Here we investigate the quantum dynamics of N independent two-level electrons interacting with Schrödinger cat or kitten states of light. Without measurement, a macroscopic cat state of electrons appears only in an ultrashort time window. In contrast, we demonstrate that photon-number parity or quadrature projective measurements can restore…

ExT: Towards Scalable Autonomous Excavation via Large-Scale Multi-Task Pretraining and Fine-Tuning
Yifan Zhai, Lorenzo Terenzi, Patrick Frey, Diego Garcia Soto, Pascal Egli, Marco Hutter
https://arxiv.org/abs/2509.14992

ExT: Towards Scalable Autonomous Excavation via Large-Scale Multi-Task Pretraining and Fine-Tuning
Scaling up the deployment of autonomous excavators is of great economic and societal importance. Yet it remains a challenging problem, as effective systems must robustly handle unseen worksite conditions and new hardware configurations. Current state-of-the-art approaches rely on highly engineered, task-specific controllers, which require extensive manual tuning for each new scenario. In contrast, recent advances in large-scale pretrained models have shown remarkable adaptability across tasks a…

Nonreciprocal parametric amplification of elastic waves in supersonic space-time modulated media
Yingrui Ye, Chunxia Liu, Xiaopeng Wang, Antonio Palermo
https://arxiv.org/abs/2508.14220

Nonreciprocal parametric amplification of elastic waves in supersonic space-time modulated media
Space-time modulated elastic media, whose material properties vary in both space and time, have attracted significant attention as a promising strategy for achieving nonreciprocal propagation of elastic waves. To date, most studies have focused on systems with subsonic modulation, where the phase velocity of the modulation wave is lower than that of the guided elastic waves. In contrast, wave propagation under supersonic modulation remains largely unexplored, and the associated nonreciprocal ph…

Hands-on with Tiramisu, Meta's "hyperrealistic" VR research prototype with beyond-retinal resolution, high brightness and contrast, and a narrow field of view (David Heaney/UploadVR)
https://www.uploadvr.com/meta-tiramisu-hyperrealistic-vr-hands-on/

Meta Tiramisu "Hyperrealistic VR" Hands-On: A Stunning Window Into Another World
At SIGGRAPH 2025, we also went hands-on with Tiramisu, Meta's prototype that combines beyond-retinal resolution, high brightness, and high contrast.

PIC12F683 poly/substrate with some residual contacts (some floated away, some sitting at random positions, some still firmly attached) but almost all oxide etched.
Doing the whole die at this state, then will probably do a clean to get all the loose contacts and debris off, another imaging pass.
Then I'm not sure if it's worth the effort to try for a clean substrate image given the poor contrast I'm seeing, vs just calling this the final form. We'll see what happe…

Quantum Chaos Diagnostics for Open Quantum Systems from Bi-Lanczos Krylov Dynamics
Matteo Baggioli, Kyoung-Bum Huh, Hyun-Sik Jeong, Xuhao Jiang, Keun-Young Kim, Juan F. Pedraza
https://arxiv.org/abs/2508.13956

Quantum Chaos Diagnostics for Open Quantum Systems from Bi-Lanczos Krylov Dynamics
In Hermitian systems, Krylov complexity has emerged as a powerful diagnostic of quantum dynamics, capable of distinguishing chaotic from integrable phases, in agreement with established probes such as spectral statistics and out-of-time-order correlators. By contrast, its role in non-Hermitian settings, relevant for modeling open quantum systems, remains less understood due to the challenges posed by complex eigenvalues and the limitations of standard approaches such as singular value decomposi…

Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of a Brown-dwarf Companion around a Nearby mid-M~dwarf LSPM~J1446 4633
Taichi Uyama, Masayuki Kuzuhara, Charles Beichman, Teruyuki Hirano, Takayuki Kotani, Qier An, Timothy D. Brandt, Markus Janson, Dimitri Mawet, Mayuko Mori, Bun'Ei Sato, Denitza Stoeva, Motohide Tamura, Masataka Aizawa, Bryson Cale, Thomas Henning, Hiroyuki Tako Ishikawa, Norio Narita, Masahiro Ogihara, Aniket Sanghi, T…

Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of a Brown-dwarf Companion around a Nearby mid-M~dwarf LSPM~J1446+4633
We report the discovery of a new directly-imaged brown dwarf companion with Keck/NIRC2+pyWFS around a nearby mid-type M~dwarf LSPM~J1446+4633 (hereafter J1446). The $L'$-band contrast ($4.5\times10^{-3}$) is consistent with a $\sim20-60\ M_{\rm Jup}$ object at 1--10~Gyr and our two-epoch NIRC2 data suggest a $\sim30\%$ ($\sim3.1σ)$ variability in its $L'$-band flux. We incorporated Gaia DR3 non-single-star catalog into the orbital fitting by combining the Subaru/IRD RV monitoring results, NIRC…

Physics-Informed Deep Contrast Source Inversion: A Unified Framework for Inverse Scattering Problems
Haoran Sun, Daoqi Liu, Hongyu Zhou, Maokun Li, Shenheng Xu, Fan Yang
https://arxiv.org/abs/2508.10555

Physics-Informed Deep Contrast Source Inversion: A Unified Framework for Inverse Scattering Problems
Inverse scattering problems are critical in electromagnetic imaging and medical diagnostics but are challenged by their nonlinearity and diverse measurement scenarios. This paper proposes a physics-informed deep contrast source inversion framework (DeepCSI) for fast and accurate medium reconstruction across various measurement conditions. Inspired by contrast source inversion (CSI) and neural operator methods, a residual multilayer perceptron (ResMLP) is employed to model current distributions …

Despite his unassuming title of “deputy chief of staff,”
Stephen Miller is one of the most powerful men in America.
His boss, Donald Trump, is undisciplined and unfocused,
prone to launching major initiatives (mass deportation, D.C. crime crackdown)
before wandering off to get distracted by fripperies (redecorating the White House, micromanaging the Kennedy Center).
Miller, by contrast, is the always-on attack dog, single-mindedly scheming up new ways to trans…

It’s Stephen Miller’s Show Now
The most powerful guy in Trump’s ear has a plan for how to respond to the death of Charlie Kirk. You’re not going to like it.

No-reference Quality Assessment of Contrast-distorted Images using Contrast-enhanced Pseudo Reference
Mohammad-Ali Mahmoudpour, Saeed Mahmoudpour
https://arxiv.org/abs/2510.05053

No-reference Quality Assessment of Contrast-distorted Images using Contrast-enhanced Pseudo Reference
Contrast change is an important factor that affects the quality of images. During image capturing, unfavorable lighting conditions can cause contrast change and visual quality loss. While various methods have been proposed to assess the quality of images under different distortions such as blur and noise, contrast distortion has been largely overlooked as its visual impact and properties are different from other conventional types of distortions. In this paper, we propose a no-reference image q…

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
Chuyang Zhou, Ziao Ji, Daochang Liu, Dongang Wang, Chenyu Wang, Chang Xu
https://arxiv.org/abs/2509.13612 h…

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
Understanding how spontaneous brain activity relates to stimulus-driven neural responses is a fundamental challenge in cognitive neuroscience. While task-based functional magnetic resonance imaging (fMRI) captures localized stimulus-evoked brain activation, its acquisition is costly, time-consuming, and difficult to scale across populations. In contrast, resting-state fMRI (rs-fMRI) is task-free and abundant, but lacks direct interpretability. We introduce Rest2Visual, a conditional generative …

Demonstrating Improved Contrast on the Roman Coronagraph with Spatial Linear Dark Field Control
Thayne Currie, Olivier Guyon, Ruslan Belikov, Dan Sirbu, Mona El Morsy
https://arxiv.org/abs/2509.08905

Demonstrating Improved Contrast on the Roman Coronagraph with Spatial Linear Dark Field Control
The baseline contrast floor from the Roman Coronagraph's High-Order Wavefront Sensing and Control strategy likely degrades over the course of time, requiring periodic recalibration of the dark hole. Here, we propose to consider spatial linear dark field control (sLDFC) on a one-sided deep-contrast region of the focal plane as a potential test. Implementing sLDFC on CGI will likely require some unique data acquisition strategies given the EMCCD's high flux sensitivity in long exposures/high gain…

Polarization-Resolved Chlorophyll Imaging for Non-Invasive Plant Tissue Assessment Using a Silicon-Rich Nitride Metalens Array
Alireza Khalilian, Mehdi Sh. Yeganeh, Konstantin Tsoi, Bowen Yu, Joe Lo, Yasha Yi
https://arxiv.org/abs/2508.14191

Polarization-Resolved Chlorophyll Imaging for Non-Invasive Plant Tissue Assessment Using a Silicon-Rich Nitride Metalens Array
Polarization-sensitive imaging enhances contrast and reveals structural features in biological tissues that are often missed by intensity-based methods, but its adoption is limited by bulky optics. We present a compact silicon-rich nitride (SRN) metalens array for high-resolution, polarization-resolved imaging of plant tissue at the chlorophyll absorption peak (660\,nm). The array integrates orthogonally sensitive metalenses to simultaneously capture X- and Y-linearly polarized transmission ima…

Control of magnetic transition, metal-semiconductor transition, and magnetic anisotropy in noncentrosymmetric monolayer Cr$_2$Ge$_2$Se$_3$Te$_3$
Rui-Qi Wang, Tengfei Cao, Tian-Min Lei, Xie Zhang, Yue-Wen Fang
https://arxiv.org/abs/2508.11899

Control of magnetic transition, metal-semiconductor transition, and magnetic anisotropy in noncentrosymmetric monolayer Cr$_2$Ge$_2$Se$_3$Te$_3$
Recent advances in two-dimensional materials have greatly expanded the family of ferromagnetic materials. The well-known 2D ferromagnets, such as CrI$_3$, Cr$_2$Ge$_2$Te$_6$, and Fe$_3$GeTe$_2$ monolayers, are characterized by centrosymmetric crystal structures. In contrast, ferromagnetic ordering in 2D noncentrosymmetric materials remains an underexplored area. Here we report a Janus ferromagnet, Cr$_2$Ge$_2$Se$_3$Te$_3$ with inversion symmetry breaking, through first-principles calculations. …

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
Prahlad G Menon
https://arxiv.org/abs/2509.13372

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
Fontan palliation for univentricular congenital heart disease progresses to hemodynamic failure with complex flow patterns poorly characterized by conventional 2D imaging. Current assessment relies on fluoroscopic angiography, providing limited 3D geometric information essential for computational fluid dynamics (CFD) analysis and surgical planning. A multi-step AI pipeline was developed utilizing Google's Gemini 2.5 Flash (2.5B parameters) for systematic, iterative processing of fluoroscopic …

Homogenization of the scattered wave and scattering resonances for periodic high-contrast subwavelength resonators
Yuxin Du, Xin Fu, Wenjia Jing
https://arxiv.org/abs/2510.11972

Homogenization of the scattered wave and scattering resonances for periodic high-contrast subwavelength resonators
We study time-harmonic scattering by a periodic array of penetrable, high-contrast obstacles with small period, confined to a bounded Lipschitz domain. The strong contrast between the obstacles and the background induces subwavelength resonances. We derive a frequency-dependent effective model in the vanishing-period limit and prove quantitative convergence of the heterogeneous scattered wave to the effective scattered wave. We also identify the limiting set of scattering resonances and establi…

Azerbaijani media highlight stark contrast in China receptions for Aliyev and Putin at the SCO summit: https://benborges.xyz/2025/08/31/azerbaijani-media-highlight-stark-contrast.html

As usual we watched the "Stoertebekker" stage play at Ralswiek on Rügen Island. The stage setups and wardrobes were as awesome as always. They really try to improve on that every year and come up with clever mechanisms to transform the building for the various acts of the play. The script this year left room for desire ;) Nevertheless a happing worth attending
htt…

TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Ziming Wei, Zichen Kong, Yuan Wang, David Z. Pan, Xiyuan Tang
https://arxiv.org/abs/2509.14169

TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Analog and mixed-signal circuit design remains challenging due to the shortage of high-quality data and the difficulty of embedding domain knowledge into automated flows. Traditional black-box optimization achieves sampling efficiency but lacks circuit understanding, which often causes evaluations to be wasted in low-value regions of the design space. In contrast, learning-based methods embed structural knowledge but are case-specific and costly to retrain. Recent attempts with large language m…

Here's an attempt at making a somewhat artistic photo of a mundane object by making it black and white and upping the contrast and only using the phone's built-in editing tools. #photography #BlackAndWhite

High contrast line on pavement for #AbstractAug with the color in the rock flecks in the asphalt emphasized; the line's a little misprinted now that I look at it again
#photo #photography

Ellipsoidal partitions for improved multi-stage robust model predictive control
Moritz Heinlein, Florian Messerer, Moritz Diehl, Sergio Lucia
https://arxiv.org/abs/2509.12792 ht…

Ellipsoidal partitions for improved multi-stage robust model predictive control
Ellipsoidal tube-based model predictive control methods effectively account for the propagation of the reachable set, typically employing linear feedback policies. In contrast, scenario-based approaches offer more flexibility in the feedback structure by considering different control actions for different branches of a scenario tree. However, they face challenges in ensuring rigorous guarantees. This work aims to integrate the strengths of both methodologies by enhancing ellipsoidal tube-based …

Isotopy versus equivariant isotopy in dimensions three and higher
Trent Lucas
https://arxiv.org/abs/2508.11104 https://arxiv.org/pdf/2508.11104

Isotopy versus equivariant isotopy in dimensions three and higher
Given a finite group action on a smooth manifold, we study the following question: if two equivariant diffeomorphisms are isotopic, must they be equivariantly isotopic? Birman-Hilden and Maclachlan-Harvey proved the answer is "yes" for most surfaces. By contrast, we give a general criterion in higher dimensions under which there are many equivariant diffeomorphisms which are isotopic but not equivariantly isotopic. Examples satisfying this criterion include branched covers of split links and "s…

The contrast between Google AI search results, which are terrible and totally unreliable, and NotebookLM is amazing.
I think it is irresponsible from Google to integrate AI search results in Google Search...
#ai #googlesearch

Experimental validation of universal filtering and smoothing for linear system identification using adaptive tuning
Zihao Liu, Sima Abolghasemi, Mohsen Ebrahimzadeh Hassanabadi, Nicholas E. Wierschem, Daniel Dias-da-Costa
https://arxiv.org/abs/2508.14629

Experimental validation of universal filtering and smoothing for linear system identification using adaptive tuning
In Kalman filtering, unknown inputs are often estimated by augmenting the state vector, which introduces reliance on fictitious input models. In contrast, minimum-variance unbiased methods estimate inputs and states separately, avoiding fictitious models but requiring strict sensor configurations, such as full-rank feedforward matrices or without direct feedthrough. To address these limitations, two universal approaches have been proposed to handle systems with or without direct feedthrough, in…

Discovery of H$\alpha$ Emission from a Protoplanet Candidate Around the Young Star 2MASS J16120668-3010270 with MagAO-X
Jialin Li, Laird M. Close, Feng Long, Jared R. Males, Sebastiaan Y. Haffert, Alycia Weinberger, Katherine Follette, Sean Andrews, John Carpenter, Warren B. Foster, Kyle Van Gorkom, Alexander D. Hedglen, Gregory J. Herczeg, Parker T. Johnson, Maggie Y. Kautz, Jay K. Kueny, Rixin Li, Joshua Liberman, Joseph D. Long, Jennifer Lumbres, Sebastian Marino, Luca Matr`a, Eden …

Discovery of H$α$ Emission from a Protoplanet Candidate Around the Young Star 2MASS J16120668-3010270 with MagAO-X
2MASS J16120668-3010270 (hereafter 2MJ1612) is a young M0 star that hosts a protoplanetary disk in the Upper Scorpious star-forming region. Recent ALMA observations of 2MJ1612 show a mildly inclined disk ($i$=37$^\circ$) with a large dust-depleted gap (R$_\text{cav}\approx$0.4" or 53 au). We present high-contrast H$α$ observations from MagAO-X on the 6.5m Magellan Telescope and new high resolution sub-mm dust continuum observations with ALMA of 2MJ1612. On both 2025 April 13 and 16, we recover…

Hey friends, sorry to be so silent again. Busy life - but nothing bad.
Just wanted to share this photo with you :
THIS was the narrowest passage ahead. It's just this and around the corner, after this it widens up again. And I can promise: it does not just look narrow - it really IS.
I admit that I thought "ohkay, I did NOT expect that and I hope it won't get worse".
(it didn't and it was fun after all)

Moody Urbanity - Odes II 🎶
情绪化城市 - 颂 II🎶
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

Towards Capacitive In-Memory-computing: A perspective on the future of AI hardware
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar
https://arxiv.org/abs/2508.13225 https://

Towards Capacitive In-Memory-computing: A perspective on the future of AI hardware
The quest for energy-efficient, scalable neuromorphic computing has elevated compute-in-memory (CIM) architectures to the forefront of hardware innovation. While memristive memories have been extensively explored for synaptic implementation in CIM architectures, their inherent limitations, including static power dissipation, sneak-path currents, and interconnect voltage drops, pose significant challenges for large-scale deployment, particularly at advanced technology nodes. In contrast, capacit…

Thermodynamic Paradox and Non-Hermitian Topological Singularities
Mario G. Silveirinha
https://arxiv.org/abs/2508.12704 https://arxiv.org/pdf/2508.12704

Thermodynamic Paradox and Non-Hermitian Topological Singularities
Unidirectional modes in magnetically biased electromagnetic systems have long been associated with a thermodynamic paradox: the absence of counter-propagating channels may produce non-integrable singularities that may act as unphysical sinks of thermal radiation. Here we revisit this problem and show that material dissipation alone cannot regularize the singular behavior, in sharp contrast with reciprocal systems where any loss suffices. Instead, the paradox is resolved by nonlocal effects, whi…

Programmable Cognitive Bias in Social Agents
Xuan Liu, Haoyang Shang, Haojian Jin
https://arxiv.org/abs/2509.13588 https://arxiv.org/pdf/2509.13588

Programmable Cognitive Bias in Social Agents
This paper introduces CoBRA, a novel toolkit for systematically specifying agent behavior in LLM-based social simulation. We found that conventional approaches that specify agent behaviors through implicit natural language descriptions cannot yield consistent behaviors across models, and the produced agent behaviors do not capture the nuances of the descriptions. In contrast, CoBRA presents a new approach to program agents' cognitive biases explicitly, by grounding agents' expected behaviors us…

Cooling of quark stars from perturbative QCD
\'Ursula Fonseca, Eduardo S. Fraga
https://arxiv.org/abs/2508.11056 https://arxiv.org/pdf/2508.11056

Cooling of quark stars from perturbative QCD
We investigate the thermal evolution of quark stars with and without a hadronic crust using an equation of state derived from perturbative QCD that incorporates the running of the strong coupling and the strange quark mass. Our analysis reveals that bare quark stars cool too rapidly to match the luminosity data, including those of the coldest observed isolated neutron stars, even when the uncertainty from the renormalization scale is taken into account. In contrast, configurations featuring a h…

Causality Matters: How Temporal Information Emerges in Video Language Models
Yumeng Shi, Quanyu Long, Yin Wu, Wenya Wang
https://arxiv.org/abs/2508.11576 https://

Causality Matters: How Temporal Information Emerges in Video Language Models
Video language models (VideoLMs) have made significant progress in multimodal understanding. However, temporal understanding, which involves identifying event order, duration, and relationships across time, still remains a core challenge. Prior works emphasize positional encodings (PEs) as a key mechanism for encoding temporal structure. Surprisingly, we find that removing or modifying PEs in video inputs yields minimal degradation in the performance of temporal understanding. In contrast, reve…

Towards Fully Onboard State Estimation and Trajectory Tracking for UAVs with Suspended Payloads
Martin Jirou\v{s}ek, Tom\'a\v{s} B\'a\v{c}a, Martin Saska
https://arxiv.org/abs/2508.11547

Towards Fully Onboard State Estimation and Trajectory Tracking for UAVs with Suspended Payloads
This paper addresses the problem of tracking the position of a cable-suspended payload carried by an unmanned aerial vehicle, with a focus on real-world deployment and minimal hardware requirements. In contrast to many existing approaches that rely on motion-capture systems, additional onboard cameras, or instrumented payloads, we propose a framework that uses only standard onboard sensors--specifically, real-time kinematic global navigation satellite system measurements and data from the onboa…

Characterizing Phishing Pages by JavaScript Capabilities
Aleksandr Nahapetyan, Kanv Khare, Kevin Schwarz, Bradley Reaves, Alexandros Kapravelos
https://arxiv.org/abs/2509.13186 …

Characterizing Phishing Pages by JavaScript Capabilities
In 2024, the Anti-Phishing Work Group identified over one million phishing pages. Phishers achieve this scale by using phishing kits -- ready-to-deploy phishing websites -- to rapidly deploy phishing campaigns with specific data exfiltration, evasion, or mimicry techniques. In contrast, researchers and defenders continue to fight phishing on a page-by-page basis and rely on manual analysis to recognize static features for kit identification. This paper aims to aid researchers and analysts by …

INR meets Multi-Contrast MRI Reconstruction
Natascha Niessen (on behalf of the PREDICTOM consortium), Carolin M. Pirkl (on behalf of the PREDICTOM consortium), Ana Beatriz Solana (on behalf of the PREDICTOM consortium), Hannah Eichhorn (on behalf of the PREDICTOM consortium), Veronika Spieker (on behalf of the PREDICTOM consortium), Wenqi Huang (on behalf of the PREDICTOM consortium), Tim Sprenger (on behalf of the PREDICTOM consortium), Marion I. Menzel (on behalf of the PREDICTOM con…

INR meets Multi-Contrast MRI Reconstruction
Multi-contrast MRI sequences allow for the acquisition of images with varying tissue contrast within a single scan. The resulting multi-contrast images can be used to extract quantitative information on tissue microstructure. To make such multi-contrast sequences feasible for clinical routine, the usually very long scan times need to be shortened e.g. through undersampling in k-space. However, this comes with challenges for the reconstruction. In general, advanced reconstruction techniques such…

A 3D porous MXene/PNIPAAm hydrogel composite with advanced degradation stability and control of electronic properties in air
Sitao Wang, Chen Jiao, Gerald Gerlach, Julia K\"orner
https://arxiv.org/abs/2508.11392

A 3D porous MXene/PNIPAAm hydrogel composite with advanced degradation stability and control of electronic properties in air
This study reports the fundamental investigation of a novel composite material consisting of MXene (Ti$_3$C$_2$T$_x$) and a stimulus-responsive hydrogel (Poly(N-isopropylacrylamide) - PNIPAAm). In contrast to previously reported integration of MXene and hydrogels, the material described here offers a tunable porous structure for volatile organic compound (VOC) sensing that maintains its stability and responsiveness in any kind of gaseous environment and in a dried state. Furthermore, its synthe…

Dependence of the recoherence times and recoherence increments on the state of phonon bath in a single qubit dephasing model
V. V. Ignatyuk, Ch. Samorodov
https://arxiv.org/abs/2508.11606

Dependence of the recoherence times and recoherence increments on the state of phonon bath in a single qubit dephasing model
The recoherence times $t^*$ and the maximum values of the recoherence increments $γ_{\rm extr}$ are studied as functions of the bath parameters for a single qubit dephasing model, prepared initially by a special kind of the non-selective measurements. The recoherence/decoherence events (RDE), occurring at the initial stage of the system evolution, are found to be both similar and different from the system dynamics at large times. For instance, in contrast to the RDE observed on large time scal…

Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
Rachel C. Zhang, Kaze W. K. Wong, Gonzalo Holgado, Matteo Cantiello
https://arxiv.org/abs/2509.12411

Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
High-resolution spectroscopic measurements of OB stars are important for understanding processes like stellar evolution, but require labor-intensive observations. In contrast, photometric missions like the Transiting Exoplanet Survey Satellite (TESS) can monitor hundreds of thousands of stars with a range of temporal resolutions, but do not provide such detailed measurements. With surveys like the Legacy Survey of Space and Time promising unprecedented photometric coverage over the next ten yea…

Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths
Kyle Van Gorkom, Ramya M. Anche, Christopher B. Mendillo, Jessica Gersh-Range, G. C. Hathaway, Saraswathi Kalyani Subramanian, Justin Hom, Tyler D. Robinson, Mamadou N'Diaye, Nikole K. Lewis, Bruce Macintosh, Ewan S. Douglas
https://arxiv.org/abs/2509.0…

Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths
NASA's Habitable Worlds Observatory (HWO) aims to achieve starlight suppression to the $10^{-10}$ level for the detection and spectral characterization of Earth-like exoplanets. Broadband ozone absorption features are key biosignatures that appear in the 200-400nm near-ultraviolet (UV) regime. Extending coronagraphy from visible wavelengths to the UV, however, brings with it a number of challenges, including tighter requirements on wavefront sensing and control, optical surface quality, scatter…

Moody Urbanity - Odes 🎶
情绪化城市 - 颂 🎶
📷 Zeiss Super Ikonta 533/16
🎞️ Ilford HP5 Plus, expired 1993
#filmphotography #Photography #blackandwhite

In August I visited four parks with my daughter on a cross-country trip: Zion, Grand Teton, Yellowstone and Badlands.
It was clear that staffing has taken a serious hit.
Experienced rangers were noticeably absent. Many hikes had been canceled,
and the few rangers we did encounter were young, primarily park interpreters;
even they were in short supply.
In contrast, the visitor centers and gift shops seemed well staffed.

Opinion | Trump’s Painful Cuts to National Parks
Readers discuss the damage to America’s parks. Also: Racial profiling in immigrant sweeps; the 9/11 memorial; phones in the classroom.

Deep Tensor Learning for Reliable Channel Charting from Incomplete and Noisy Measurements
Ge Chen, Panqi Chen, Lei Cheng
https://arxiv.org/abs/2509.13030 https://

Deep Tensor Learning for Reliable Channel Charting from Incomplete and Noisy Measurements
Channel charting has emerged as a powerful tool for user equipment localization and wireless environment sensing. Its efficacy lies in mapping high-dimensional channel data into low-dimensional features that preserve the relative similarities of the original data. However, existing channel charting methods are largely developed using simulated or indoor measurements, often assuming clean and complete channel data across all frequency bands. In contrast, real-world channels collected from base s…

Quantum vs Classical Thermal Transport at Low Temperatures
Zhixing Zou, Jiangbin Gong, Jiao Wang, Giulio Casati, Giuliano Benenti
https://arxiv.org/abs/2509.14027 https://

Quantum vs Classical Thermal Transport at Low Temperatures
This work aims to understand how quantum mechanics affects heat transport at low temperatures. In the classical setting, by considering a simple paradigmatic model, our simulations reveal the emergence of Negative Differential Thermal Resistance (NDTR): paradoxically, increasing the temperature bias by lowering the cold bath temperature reduces the steady-state heat current. In sharp contrast, the quantum version of the model, treated via a Lindblad master equation, exhibits no NDTR: the heat c…

Undersampled Phase Retrieval with Image Priors
Stanislas Ducotterd, Zhiyuan Hu, Michael Unser, Jonathan Dong
https://arxiv.org/abs/2509.15026 https://arxiv…

Undersampled Phase Retrieval with Image Priors
Phase retrieval seeks to recover a complex signal from amplitude-only measurements, a challenging nonlinear inverse problem. Current theory and algorithms often ignore signal priors. By contrast, we evaluate here a variety of image priors in the context of severe undersampling with structured random Fourier measurements. Our results show that those priors significantly improve reconstruction, allowing accurate reconstruction even below the weak recovery threshold.

On The Road - To Xi’An/ Geometry 📐
在路上 - 去西安/ 几何 📐
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

Friend sent me this pic from the WOOT poster session.
Unfortunately I didn't think to ask for a pic of me with it, but oh well lol.

Coherently enhanced decoherence and cloud substructure of atom interferometers
Clara Murgui, Ryan Plestid
https://arxiv.org/abs/2509.13417 https://arxiv.or…

Coherently enhanced decoherence and cloud substructure of atom interferometers
We study how coherent scattering of a background gas off an atom (or other matter) interferometer can lead to enhanced signals from phase shifts and contrast loss. We focus on the inclusion of realistic features of atom interferometers such as finite temperature, cloud substructure, and time-dependent cloud radii. The inclusion of these effects, extending beyond the previously considered point-like cloud approximation, naturally allow us to study the smooth transition between the coherent and i…

Continuing a bit with the #photos from our #schwarzwald #vacations : (unknowingly) we walked along the Western-way. It was pretty cool because the trail was very diverse as you can see on the photo…

Method of regions for dual conformal integrals
Leonid V. Bork, Roman N. Lee, Andrei I. Onishchenko
https://arxiv.org/abs/2509.12056 https://arxiv.org/pdf/2…

Method of regions for dual conformal integrals
We apply the method of regions to the evaluation of dual conformal integrals with small off-shellness. In contrast to conventional approach, where the separation of regions is performed via dimensional regularization which breaks the dual conformal invariance (DCI) of separate contributions, we use the regularization which is sufficiently generic combination of dimensional and analytic regularizations which preserves the DCI. Within this regularization, the contribution of each region becomes D…

High-Contrast Interferometric Imaging of Single-Molecule Dynamics on Optical Fibers
Guifeng Li, Chaoyang Gong
https://arxiv.org/abs/2510.10061 https://arxi…

High-Contrast Interferometric Imaging of Single-Molecule Dynamics on Optical Fibers
Single-molecule detection enables direct observation of individual biomolecular events, providing mechanistic insights into biological processes and offering a powerful tool for disease diagnostics. However, the fundamental scale mismatch between optical wavelengths and molecules restricts the application of label-free techniques, leading to poor signal-to-noise (SNR) performance. Here, we propose a high-contrast, label-free approach based on interferometric imaging, utilizing the strong evanes…

OnlineHOI: Towards Online Human-Object Interaction Generation and Perception
Yihong Ji, Yunze Liu, Yiyao Zhuo, Weijiang Yu, Fei Ma, Joshua Huang, Fei Yu
https://arxiv.org/abs/2509.12250

OnlineHOI: Towards Online Human-Object Interaction Generation and Perception
The perception and generation of Human-Object Interaction (HOI) are crucial for fields such as robotics, AR/VR, and human behavior understanding. However, current approaches model this task in an offline setting, where information at each time step can be drawn from the entire interaction sequence. In contrast, in real-world scenarios, the information available at each time step comes only from the current moment and historical data, i.e., an online setting. We find that offline methods perform…

RAPTOR: A Foundation Policy for Quadrotor Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
https://arxiv.org/abs/2509.11481 https://arxiv.org/pdf/250…

RAPTOR: A Foundation Policy for Quadrotor Control
Humans are remarkably data-efficient when adapting to new unseen conditions, like driving a new car. In contrast, modern robotic control systems, like neural network policies trained using Reinforcement Learning (RL), are highly specialized for single environments. Because of this overfitting, they are known to break down even under small differences like the Simulation-to-Reality (Sim2Real) gap and require system identification and retraining for even minimal changes to the system. In this wor…

Spatial structure of multipartite entanglement at measurement induced phase transitions
James Allen, William Witczak-Krempa
https://arxiv.org/abs/2509.12109 https://

Spatial structure of multipartite entanglement at measurement induced phase transitions
We study multiparty entanglement near measurement induced phase transitions (MIPTs), which arise in ensembles of local quantum circuits built with unitaries and measurements. In contrast to equilibrium quantum critical transitions, where entanglement is short-ranged, MIPTs possess long-range k-party genuine multiparty entanglement (GME) characterized by an infinite hierarchy of entanglement exponents for k >= 2. First, we represent the average spread of entanglement with "entanglement clusters"…

A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers
Tao Hong, Umberto Villa, Jeffrey A. Fessler
https://arxiv.org/abs/2508.11219

A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers
Model-based reconstruction plays a key role in compressed sensing (CS) MRI, as it incorporates effective image regularizers to improve the quality of reconstruction. The Plug-and-Play and Regularization-by-Denoising frameworks leverage advanced denoisers (e.g., convolutional neural network (CNN)-based denoisers) and have demonstrated strong empirical performance. However, their theoretical guarantees remain limited, as practical CNNs often violate key assumptions. In contrast, gradient-driven d…

On The Road - To Xi’An/Before & After 🌬️
在路上 - 去西安/之前之后🌬️
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao
https://arxiv.org/abs/2508.10704

Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
The dynamic range limitation of conventional RGB cameras reduces global contrast and causes loss of high-frequency details such as textures and edges in complex traffic environments (e.g., nighttime driving, tunnels), hindering discriminative feature extraction and degrading frame-based object detection. To address this, we integrate a bio-inspired event camera with an RGB camera to provide high dynamic range information and propose a motion cue fusion network (MCFNet), which achieves optimal s…

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
https://arxiv.org/abs/2509.06592

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
Magnetic resonance imaging (MRI) is an invaluable tool for clinical and research applications. Yet, variations in scanners and acquisition parameters cause inconsistencies in image contrast, hindering data comparability and reproducibility across datasets and clinical studies. Existing scanner harmonization methods, designed to address this challenge, face limitations, such as requiring traveling subjects or struggling to generalize to unseen domains. We propose a novel approach using a conditi…

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
Xiaoji Zheng, Ziyuan Yang, Yanhao Chen, Yuhang Peng, Yuanrong Tang, Gengyuan Liu, Bokui Chen, Jiangtao Gong
https://arxiv.org/abs/2510.12560

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
End-to-end autonomous driving models trained solely with imitation learning (IL) often suffer from poor generalization. In contrast, reinforcement learning (RL) promotes exploration through reward maximization but faces challenges such as sample inefficiency and unstable convergence. A natural solution is to combine IL and RL. Moving beyond the conventional two-stage paradigm (IL pretraining followed by RL fine-tuning), we propose CoIRL-AD, a competitive dual-policy framework that enables IL an…

EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
Yanjun Li, Yuqian Fu, Tianwen Qian, Qi'ao Xu, Silong Dai, Danda Pani Paudel, Luc Van Gool, Xiaoling Wang
https://arxiv.org/abs/2508.10729

EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
Recent advances in Multimodal Large Language Models (MLLMs) have significantly pushed the frontier of egocentric video question answering (EgocentricQA). However, existing benchmarks and studies are mainly limited to common daily activities such as cooking and cleaning. In contrast, real-world deployment inevitably encounters domain shifts, where target domains differ substantially in both visual style and semantic content. To bridge this gap, we introduce \textbf{EgoCross}, a comprehensive ben…

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
Yushi Lan, Yihang Luo, Fangzhou Hong, Shangchen Zhou, Honghua Chen, Zhaoyang Lyu, Shuai Yang, Bo Dai, Chen Change Loy, Xingang Pan
https://arxiv.org/abs/2508.10893

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
We present STream3R, a novel approach to 3D reconstruction that reformulates pointmap prediction as a decoder-only Transformer problem. Existing state-of-the-art methods for multi-view reconstruction either depend on expensive global optimization or rely on simplistic memory mechanisms that scale poorly with sequence length. In contrast, STream3R introduces an streaming framework that processes image sequences efficiently using causal attention, inspired by advances in modern language modeling.…