A. Thomsen, et al.: Dark Energy Survey Year 3 results: Simulation-based $w$CDM inference from weak lensing and galaxy clustering maps with deep learning. I. Analysis design https://arxiv.org/abs/2511.04681 https://arxiv.org/pdf/2511.04681 https://arxiv.org/html/2511.04681

Zhang, Sha, Jiang, Loper, Song, Cai, Xu, Hu, Zheng, Li: Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions https://arxiv.org/abs/2511.04665 https://arxiv.org/pdf/2511.04665 https://arxiv.org/html/2511.04665

Narjes Nourzad, Hanqing Yang, Shiyu Chen, Carlee Joe-Wong: DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration https://arxiv.org/abs/2511.04646 https://arxiv.org/pdf/2511.04646 https://arxiv.org/html/2511.04646

Steffen Dereich, Arnulf Jentzen, Sebastian Kassing: ODE approximation for the Adam algorithm: General and overparametrized setting https://arxiv.org/abs/2511.04622 https://arxiv.org/pdf/2511.04622 https://arxiv.org/html/2511.04622

Natalia Glazman, Jyoti Mangal, Pedro Borges, Sebastien Ourselin, M. Jorge Cardoso: Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling https://arxiv.org/abs/2511.04619 https://arxiv.org/pdf/2511.04619 https://arxiv.org/html/2511.04619

Maximilian Matthe: evomap: A Toolbox for Dynamic Mapping in Python https://arxiv.org/abs/2511.04611 https://arxiv.org/pdf/2511.04611 https://arxiv.org/html/2511.04611

Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari, Zaiying Zhao, Kiyoharu Aizawa: Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper https://arxiv.org/abs/2511.04583 https://arxiv.org/pdf/2511.04583 https://arxiv.org/html/2511.04583

Zhuo Zhang, Xiong Xiong, Sen Zhang, Yuan Zhao, Xi Yang: Physics-Informed Neural Networks and Neural Operators for Parametric PDEs: A Human-AI Collaborative Analysis https://arxiv.org/abs/2511.04576 https://arxiv.org/pdf/2511.04576 https://arxiv.org/html/2511.04576

Masahiro Kato: Riesz Regression As Direct Density Ratio Estimation https://arxiv.org/abs/2511.04568 https://arxiv.org/pdf/2511.04568 https://arxiv.org/html/2511.04568

Ionut-Gabriel Farcas, Don Lawrence Carl Agapito Fernando, Alejandro Banon Navarro, Gabriele Merlo, Frank Jenko: Machine Learning for Electron-Scale Turbulence Modeling in W7-X https://arxiv.org/abs/2511.04567 https://arxiv.org/pdf/2511.04567 https://arxiv.org/html/2511.04567

Yoh-ichi Mototake, Makoto Sasaki: Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI https://arxiv.org/abs/2511.04564 https://arxiv.org/pdf/2511.04564 https://arxiv.org/html/2511.04564

Dhruv Deepak Agarwal, Aswani Kumar Cherukuri: Confidential Computing for Cloud Security: Exploring Hardware based Encryption Using Trusted Execution Environments https://arxiv.org/abs/2511.04550 https://arxiv.org/pdf/2511.04550 https://arxiv.org/html/2511.04550

Subati Abulikemu, Tiago Azevedo, Michail Mamalakis, John Suckling: Unified Generative Latent Representation for Functional Brain Graphs https://arxiv.org/abs/2511.04539 https://arxiv.org/pdf/2511.04539 https://arxiv.org/html/2511.04539

Nikhil Abhyankar, Purvi Chaurasia, Sanchit Kabra, Ananya Srivastava, Vivek Gupta, Chandan K. Reddy: RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables https://arxiv.org/abs/2511.04491 https://arxiv.org/pdf/2511.04491 https://arxiv.org/html/2511.04491

Tsubasa Harada, Yasushi Kawase, Hanna Sumita: Online Algorithms for Repeated Optimal Stopping: Achieving Both Competitive Ratio and Regret Bounds https://arxiv.org/abs/2511.04484 https://arxiv.org/pdf/2511.04484 https://arxiv.org/html/2511.04484

Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh, Giannis Tyrovolas: Fraud-Proof Revenue Division on Subscription Platforms https://arxiv.org/abs/2511.04465 https://arxiv.org/pdf/2511.04465 https://arxiv.org/html/2511.04465

Giorgio Palma, Andrea Serani, Matteo Diez: Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Hankel dynamic mode decomposition https://arxiv.org/abs/2511.04461 https://arxiv.org/pdf/2511.04461 https://arxiv.org/html/2511.04461

Hao Zhu, Jasper Hoffmann, Baohe Zhang, Joschka Boedecker: Fitting Reinforcement Learning Model to Behavioral Data under Bandits https://arxiv.org/abs/2511.04454 https://arxiv.org/pdf/2511.04454 https://arxiv.org/html/2511.04454

Patrik Val\'abek, Marek Wadinger, Michal Kvasnica, Martin Klau\v{c}o: Deep Dictionary-Free Method for Identifying Linear Model of Nonlinear System with Input Delay https://arxiv.org/abs/2511.04451 https://arxiv.org/pdf/2511.04451 https://arxiv.org/html/2511.04451

Anisha Garg, Ganesh Venkatesh: The Peril of Preference: Why GRPO fails on Ordinal Rewards https://arxiv.org/abs/2511.04439 https://arxiv.org/pdf/2511.04439 https://arxiv.org/html/2511.04439

Patrik Val\'abek, Michaela Horv\'athov\'a, Martin Klau\v{c}o: Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit https://arxiv.org/abs/2511.04437 https://arxiv.org/pdf/2511.04437 https://arxiv.org/html/2511.04437

Sara P\'erez-Vieites, Sahel Iqbal, Simo S\"arkk\"a, Dominik Baumann: Online Bayesian Experimental Design for Partially Observed Dynamical Systems https://arxiv.org/abs/2511.04403 https://arxiv.org/pdf/2511.04403 https://arxiv.org/html/2511.04403

Itbaan Safwan, Muhammad Annas Shaikh, Muhammad Haaris, Ramail Khan, Muhammad Atif Tahir: Multi-Task Learning for Visually Grounded Reasoning in Gastrointestinal VQA https://arxiv.org/abs/2511.04384 https://arxiv.org/pdf/2511.04384 https://arxiv.org/html/2511.04384

Ali Boudaghi, Hadi Zare: MusRec: Zero-Shot Text-to-Music Editing via Rectified Flow and Diffusion Transformers https://arxiv.org/abs/2511.04376 https://arxiv.org/pdf/2511.04376 https://arxiv.org/html/2511.04376

Dennis Thumm: Causal Regime Detection in Energy Markets With Augmented Time Series Structural Causal Models https://arxiv.org/abs/2511.04361 https://arxiv.org/pdf/2511.04361 https://arxiv.org/html/2511.04361

Amir Molzam Sharifloo, Maedeh Heydari, Parsa Kazerooni, Daniel Maninger, Mira Mezini: Where Do LLMs Still Struggle? An In-Depth Analysis of Code Generation Benchmarks https://arxiv.org/abs/2511.04355 https://arxiv.org/pdf/2511.04355 https://arxiv.org/html/2511.04355

Alonso-Monsalve, Whitehead, Aurisano, Sanchez: Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography https://arxiv.org/abs/2511.04334 https://arxiv.org/pdf/2511.04334 https://arxiv.org/html/2511.04334

Zhang, Hu, Chen, Yuan, Li, Zhu, Wang, Zhang, Si, Gao, Wu, Wang, Sun: AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM https://arxiv.org/abs/2511.04321 https://arxiv.org/pdf/2511.04321 https://arxiv.org/html/2511.04321

Michael Ludkovski, Changgen Xie, Zimu Zhu: DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems https://arxiv.org/abs/2511.04309 https://arxiv.org/pdf/2511.04309 https://arxiv.org/html/2511.04309

Giovanni Barbarino, Nicolas Gillis, Subhayan Saha: Robustness of Minimum-Volume Nonnegative Matrix Factorization under an Expanded Sufficiently Scattered Condition https://arxiv.org/abs/2511.04291 https://arxiv.org/pdf/2511.04291 https://arxiv.org/html/2511.04291

Jungbin Jun, Ilsang Ohn: Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift https://arxiv.org/abs/2511.04275 https://arxiv.org/pdf/2511.04275 https://arxiv.org/html/2511.04275

Elbatel, Wang, Liu, Mouheb, Almar-Munoz, Lin, Yang, Lekadir, Li: MedSapiens: Taking a Pose to Rethink Medical Imaging Landmark Detection https://arxiv.org/abs/2511.04255 https://arxiv.org/pdf/2511.04255 https://arxiv.org/html/2511.04255

Valter Uotila, V\"ain\"o Mehtola, Ilmo Salmenper\"a, Bo Zhao: Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes https://arxiv.org/abs/2511.04243 https://arxiv.org/pdf/2511.04243 https://arxiv.org/html/2511.04243

Liran Cohen, Yaniv Nemcovesky, Avi Mendelson: REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs https://arxiv.org/abs/2511.04228 https://arxiv.org/pdf/2511.04228 https://arxiv.org/html/2511.04228

Paul Badu Yakubu, Lesther Santana, Mohamed Rahouti, Yufeng Xin, Abdellah Chehri, Mohammed Aledhari: Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems https://arxiv.org/abs/2511.04114 https://arxiv.org/pdf/2511.04114 https://arxiv.org/html/2511.04114

Moses Charikar, Chirag Pabbaraju, Ambuj Tewari: A Characterization of List Language Identification in the Limit https://arxiv.org/abs/2511.04103 https://arxiv.org/pdf/2511.04103 https://arxiv.org/html/2511.04103

Shinto Eguchi: Robust inference using density-powered Stein operators https://arxiv.org/abs/2511.03963 https://arxiv.org/pdf/2511.03963 https://arxiv.org/html/2511.03963

Aukosh Jagannath, Taj Jones-McCormick, Varnan Sarangian: High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes https://arxiv.org/abs/2511.03952 https://arxiv.org/pdf/2511.03952 https://arxiv.org/html/2511.03952

Jessi Cisewski-Kehe, Brittany Terese Fasy, Alexander McCleary, Eli Quist, Jack Ruder: Vectorized Computation of Euler Characteristic Functions and Transforms https://arxiv.org/abs/2511.03909 https://arxiv.org/pdf/2511.03909 https://arxiv.org/html/2511.03909

Manh Nguyen, Sunil Gupta, Dai Do, Hung Le: GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation https://arxiv.org/abs/2511.03900 https://arxiv.org/pdf/2511.03900 https://arxiv.org/html/2511.03900

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar: A general technique for approximating high-dimensional empirical kernel matrices https://arxiv.org/abs/2511.03892 https://arxiv.org/pdf/2511.03892 https://arxiv.org/html/2511.03892

Linchen Qian, Jiasong Chen, Ruonan Gong, Wei Sun, Minliang Liu, Liang Liang: Shape Deformation Networks for Automated Aortic Valve Finite Element Meshing from 3D CT Images https://arxiv.org/abs/2511.03890 https://arxiv.org/pdf/2511.03890 https://arxiv.org/html/2511.03890

Abdulmumin Sa'ad, Sulaimon Oyeniyi Adebayo, Abdul Jabbar Siddiqui: Desert Waste Detection and Classification Using Data-Based and Model-Based Enhanced YOLOv12 DL Model https://arxiv.org/abs/2511.03888 https://arxiv.org/pdf/2511.03888 https://arxiv.org/html/2511.03888

Klitzner, Inigo, Killeen, Seenivasan, Song, Krieger, Unberath: Investigating Robot Control Policy Learning for Autonomous X-ray-guided Spine Procedures https://arxiv.org/abs/2511.03882 https://arxiv.org/pdf/2511.03882 https://arxiv.org/html/2511.03882

Suraj Prasai, Mengnan Du, Ying Zhang, Fan Yang: KnowThyself: An Agentic Assistant for LLM Interpretability https://arxiv.org/abs/2511.03878 https://arxiv.org/pdf/2511.03878 https://arxiv.org/html/2511.03878

Guo, Khurana, Grande, del Alamo, Contijoch: Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Sim... https://arxiv.org/abs/2511.03876 https://arxiv.org/pdf/2511.03876 https://arxiv.org/html/2511.03876

Bhattacharjee, TehraniJamsaz, Chen, Hasabnis, Capota, Ahmed, Jannesari: OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms https://arxiv.org/abs/2511.03866 https://arxiv.org/pdf/2511.03866 https://arxiv.org/html/2511.03866

Phuc Nguyen, Josiah Couch, Rahul Bansal, Alexandra Morgan, Chris Tam, Miao Li, Rima Arnaout, Ramy Arnaout: Which Similarity-Sensitive Entropy? https://arxiv.org/abs/2511.03849 https://arxiv.org/pdf/2511.03849 https://arxiv.org/html/2511.03849

Tianning Dong, Luyi Ma, Varun Vasudevan, Jason Cho, Sushant Kumar, Kannan Achan: To See or To Read: User Behavior Reasoning in Multimodal LLMs https://arxiv.org/abs/2511.03845 https://arxiv.org/pdf/2511.03845 https://arxiv.org/html/2511.03845

Ahmed Mostafa, Raisul Arefin Nahid, Samuel Mulder: How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis https://arxiv.org/abs/2511.03825 https://arxiv.org/pdf/2511.03825 https://arxiv.org/html/2511.03825