Isolater - Feed

Ax Zhangyong Liang, Huanhuan Gao 12d ago

Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations

Neural Newton preconditioning methods for cohesive zone model simulations in composite structures.

Ax Mahdi Naseri, Jiayan Qiu, Zhou Wang 12d ago

Generated Contents Enrichment

Study on Generated Contents Enrichment for conditional image generation with explicit scene representations.

Ax Tobias Christian Nauen, Brian Moser, Federico Raue, Stanislav Frolov, Andreas Dengel 12d ago

ForAug: Mitigating Biases in Image Classification via Controlled Image Compositions

Image augmentation technique (ForAug) that factorizes training images into foreground/background to mitigate compositional biases in image classification.

Ax Flavia Esposito, Andersen Ang 12d ago

Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates

Optimization algorithm for low-rank problems with sparse simplex constraints using multiplicative updates on oblique manifolds.

Ax Valentin Lombard, Julien Nguyen Van, Sergei Grudinin, Elodie Laine 12d ago

PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks

SE(3)-equivariant graph neural networks framework for inferring protein conformational ensembles from sparse experimental data.

Ax Lisa Herzog, Jonas Br\"andli, Maurice Schneeberger, Loran Avci, Nordin Dari, Martin H\"ansel, Hakim Baazaoui, Pascal B\"uhler, Susanne Wegener, Beate Sick 12d ago

Explainability in mulimodal deep transformation models for stroke outcome prediction

Interpretable multimodal deep transformation models combining neural networks with statistical methods for stroke outcome prediction with Grad-CAM explainability.

Ax Ahmet Alacaoglu, Yura Malitsky, Stephen J. Wright 12d ago

Towards Weaker Variance Assumptions for Stochastic Optimization

Theoretical analysis of variance assumptions in stochastic gradient optimization algorithms from classical to modern perspectives.

Ax Tianyi Ma, Tengyao Wang, Richard J. Samworth 12d ago

Deep learning with missing data

Pattern Embedded Neural Networks (PENNs) for multivariate regression with missing covariates, combining imputation with indicator observation networks.

Ax Zahra Mohammadi, Parnian Fazel, Siamak Mohammadi 12d ago

Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution

Energy-efficient deep learning model for 4-stage sleep classification using single-lead ECG signals for home-based monitoring.

Ax Ran Yan, Youhe Jiang, Zhuoming Chen, Haohui Mai, Beidi Chen, Binhang Yuan 12d ago

FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel

Efficient sparse attention kernel implementation for LLMs, providing alternative to Native Sparse Attention with improved performance on long-context tasks.

Ax Gaia Molinaro, Anne G. E. Collins 12d ago

Reward function compression facilitates goal-dependent reinforcement learning

Cognitive science study on human reinforcement learning showing how compressed reward functions transfer from working memory to long-term memory.

Ax Stanislas Ducotterd, Zhiyuan Hu, Michael Unser, Jonathan Dong 12d ago

Breaking the Weak Recovery Limit in Random Phase Retrieval with Learned Regularizers

Machine learning approach using learned regularizers to improve signal recovery from amplitude-only measurements beyond theoretical recovery limits.

Ax Juyeon Yoon, Somin Kim, Robert Feldt, Shin Yoo 12d ago

Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs

Test adequacy metric (Clotho) for measuring LLM input quality before inference to enable task-specific prompt testing without ground truth outputs.

Ax Daniela Schkoda, Dominik Janzing 12d ago

Root Cause Analysis of Outliers in Unknown Cyclic Graphs

Theoretical analysis of identifying root cause nodes in cyclic causal graphs by tracing outlier propagation through structural equations.

Ax Lingxiao Li, Yifan Wang, Xinyan Gao, Chen Tang, Xiangyu Yue, Chenyu You 12d ago

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning

Large-scale dataset of 400K visual chain-of-thought reasoning examples for training multimodal large language models on spatially grounded reasoning tasks.

Ax Takamichi Miyata, Sumiko Miyata, Andrew Morris 12d ago

Zero-Shot Distracted Driver Detection via Vision Language Models with Double Decoupling

Vision-language model approach for zero-shot distracted driver detection using double decoupling to separate appearance variations from behavior cues.

Ax Yuxi Liu, Yipeng Hu, Zekun Zhang, Kunze Jiang, Kun Yuan 12d ago

Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers

Dynamic sparse attention mechanism for video diffusion transformers to reduce quadratic complexity of self-attention in long-sequence generation tasks.

Ax Takaya Kawakatsu, Ryo Ishiyama 12d ago

GryphOne: Symbol-Aware Masked Diffusion for Structural Refinement in Offline Handwritten Mathematical Expression Recognition

Discrete diffusion framework for handwritten mathematical expression recognition using symbol-aware masked diffusion to improve consistency and reduce exposure bias.

Ax Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani 12d ago

MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation

MMLoP low-rank prompting method for efficient vision-language model adaptation with millions fewer parameters than state-of-the-art.

Ax Zhanyi Sun, Shuran Song 12d ago

From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

DICE-RL framework using RL as distribution contraction operator to finetune pretrained diffusion/flow-based robot policies from online feedback.

Ax Rasul Khanbayov, Mohamed Rayan Barhdadi, Erchin Serpedin, Hasan Kurban 12d ago

IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video

IRIS benchmark: 240 4K real-world videos for unsupervised physical parameter estimation and governing-equation identification.

Ax Joanna Zou, Han Cheng Lie, Youssef Marzouk 12d ago

Goal-oriented learning of stochastic differential equations using error bounds on path-space observables

Surrogate modeling framework for stochastic differential equations using path-space observable error bounds for efficient simulation.

Ax Zhanzhao Li, Kengran Yang, Qiyao He, Kai Gong 12d ago

Large language model-enabled automated data extraction for concrete materials informatics

LLM-powered pipeline for automated extraction and structuring of materials science data from unstructured scientific literature.

Ax Akira Tamamori 12d ago

Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks

Geometric and dynamical analysis of attractor basins and storage limits in kernel Hopfield networks; real-world image embedding evaluation.

Ax Evangelos Ntavelis, Sean Wu, Mohamad Shahbazi, Fabio Maninchedda, Dmitry Kostiaev, Artem Sevastopolsky, Vittorio Megaro, Trevor Phillips, Alejandro Blumentals, Shridhar Ravikumar, Mehak Gupta, Reinhard Knothe, Jeronimo Bayer, Matthias Vestner, Simon Schaefer, Thomas Etterlin, Christian Zimmermann, Alexey Artemov, Mathias Deschler, Peter Kaufmann, Stefan Brugger, Sebastian Martin, Brian Amberg, Tom Runia 12d ago

Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures

HeadsUp scalable feed-forward method for 3D Gaussian head reconstruction from multi-view captures using encoder-decoder architecture.

Ax Alasdair Ross, George K. Holt, Kamran Pentland, Adriano Agnello, Nicola C. Amorisco, Pedro Cavestany, Aran Garrod, Timothy Nunn, Charles Vincent, Graham McArdle 12d ago

Real-time virtual circuits for plasma shape control via neural network emulators

Neural network emulators for real-time tokamak plasma shape control via virtual circuits; replaces expensive numerical computation.

Ax Rocco Caprio, Adrien Corenflos, Sam Power 12d ago

Wasserstein Contraction of Coordinate Ascent Variational Inference

Non-asymptotic Wasserstein contraction analysis for coordinate ascent variational inference algorithms.

Ax Boris Kriuk 12d ago

Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling

Physics-informed neural network for subsurface mineral prospectivity modeling incorporating Darcy flow and advection-diffusion.

Ax Hao Liang, Cheng Tang, Yunzong Xu 12d ago

Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds

Theoretical analysis of queue peak dynamics in stochastic networks under nonstationary arrival conditions.

Ax Itay Lavie, Noam Levi, Yonatan Kahn 12d ago

Statistical Properties of Training & Generalization

Physics-informed review of deep learning statistical properties including neural scaling laws from classical statistics perspective.

Ax Peng Fang, Arijit Khan, Ziqiang Wu, Zhenli Li, Yibo Zhou, Fang Wang, Dan Feng 12d ago

FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism

FeLoG distributed graph embedding framework with feedback loop mechanism for billion-scale graphs; applications include GraphRAG.

Ax Sana Ayromlou, Purvi Sehgal, Pradyumna Narayana 12d ago

Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval

Taxonomic strategy retrieval approach to mitigate compounding failures in multi-step agentic tasks; addresses problem drift in persuasion agents.

Ax Alois Duston, Tan Bui-Thanh 12d ago

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation

Mathematical framework for matrix-gated blended score estimation in Ornstein-Uhlenbeck diffusion sampling; theoretical contribution.

Ax Andrew C. Cullen, Neil G. Marchant, Jiani Xie, Paul Montague, Sean Lamont, Maxwell Standen, Benjamin I. P. Rubinstein 12d ago

Room for Error: Large-Scale Simulation of Over-the-Air Acoustic Attacks

Large-scale simulation framework for physical adversarial acoustic attacks against voice-controlled AI systems; addresses scaling challenges.

Ax Matteo Farina, Vishaal Udandarao, Thao Nguyen, Selim Kuzucu, Maximilian B\"other, Andreas Hochlehnert, Adhiraj Ghosh, Marianna Nezhurina, Karsten Roth, Joschka Struber, Yuhui Zhang, Sebastian Dziadzio, Elaine Sui, Soumya Jahagirdar, Dhruba Ghosh, Hasan Hammoud, Thomas De Min, Simone Caldarella, Jehanzeb Mirza, Sedrick Keh, Mehdi Cherti, Hilde Kuehne, Bernt Schiele, Serena Yeung-Levy, Muhammad Ferjad Naeem, Federico Tombari, Ana Klimovic, Elisa Ricci, Matthias Bethge, Sewoong Oh, Ameya Prabhu, Alessio Tonioni, Jenia Jitsev, Massimiliano Mancini, Ludwig Schmidt, Nikhil Parthasarathy 12d ago