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Ax Zegu Zhang, Jian Zhang 10d ago

A Simplex Witness Certificate and Escape Force for Constant Collapse in Variational Autoencoders

Theoretical analysis of constant collapse collapse in variational autoencoders using simplex witness certificates.

Ax Julian Gutheil (Graz University of Technology), Simon Hitzginger (Graz University of Technology), Robert Legenstein (Graz University of Technology) 10d ago

Winner-Take-All bottlenecks enforce disentangled symbolic representations in multi-task learning

Research on winner-take-all network mechanisms for learning disentangled representations in multi-task deep learning models.

Ax Mengdi Chu, Yang Liu, Ayan Biswas, Han-Wei Shen 10d ago

Do Physics Foundation Models Learn Generalizable Physics? A Bias-Aware Benchmark Across Physical Regimes and Distribution Shifts

Benchmark evaluating whether physics foundation models learn generalizable dynamics across different physical regimes and distribution shifts.

Ax Thomas Humphries, Zinan Lin, Sergey Yekhanin 10d ago

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution

Differentially private k-means clustering using private evolution algorithm with improved sensitivity bounds.

Ax Hongbo Wang 10d ago

Exact equivariance, kept through training, buys zero-shot generalisation across the symmetry group

Theoretical study showing exact equivariance in latent world models enables zero-shot generalization across symmetry groups.

Ax Younghun Go, Jaehoon Han, Changyong Shin, Chuck Yoo, Gyeongsik Yang 10d ago

Enabling KV Caching of Shared Prefix for Diffusion Language Models

Technique for KV caching shared prefixes in diffusion language models with bidirectional attention mechanisms.

Ax Wanghan Xu, Shuo Li, Tianlin Ye, Qinglong Cao, Yixin Chen, Hengjian Gao, Yiheng Wang, Qi Li, Kun Li, Sheng Xu, Shengdu Chai, Fangchen Yu, Xiangyu Zhao, Zhangrui Zhao, Weijie Ma, Zijie Guo, Koutian Wu, Haoyu Zhou, Haoxiang Yin, Lixue Cheng, Chaofan Hu, Haoxuan Li, Lu Mi, Xuxuan Xie, Yifan Zhou, Ruizhe Chen, Zhiwang Zhou, Xingjian Guo, Yuhao Zhou, Xuming He, Shengyuan Xu, Xinyu Gu, Jiamin Wu, Mianxin Liu, Chunfeng Song, Fenghua Ling, Dongzhan Zhou, Shixiang Tang, Yuqiang Li, Mao Su, Peng Ye, Siqi Sun, Bin Wang, Xue Yang, Zhenfei Yin, Tianfan Fu, Guangtao Zhai, Wanli Ouyang, Bo Zhang, Lei Bai, Wenlong Zhang 10d ago

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Benchmark with 40 tasks across 10 scientific domains for evaluating end-to-end autonomous research capabilities of AI coding agents.

Ax Juntian Huang, J\"urgen Kurths, Ying Tang 10d ago

Kolmogorov-Arnold Reservoir Computing

Reservoir computing variant using Kolmogorov-Arnold representations for improved long-range dependency capture in dynamical systems.

Ax Hongbo Wang 10d ago

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models

Framework for certifying when conservation laws remain valid in learned latent representations of physical systems.

Ax Jian Xu, Artur Miroszewski, Delu Zeng, Qibin Zhao 10d ago

Active Quantum Kernel Acquisition for Gaussian Process Regression

Active learning approach for quantum kernel acquisition in Gaussian process regression with shot budgeting.

Ax Jisung Park, Seohyeon Kang, Daeun Yoo, Eunsu Lee, Seoin Cho, Wooyeop Choi, Ian Choi, James R. Evan, Daesoo Kim, Sonia Gandhi, Minee L. Choi 10d ago

Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images

Sparse autoencoders resolve superposition in neural networks for improved interpretability of biological image analysis.

Ax Kung-Ming Lan, Edward Huang 10d ago

Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning

Study of barren plateaus in quantum machine learning through dynamical Lie algebra perspective on model expressivity.

Ax Jingwei Song, Haofeng Xu, Jie Xiao, Chengke Bao, Jingwei Shi, Pengbin Feng, Weixun Wang, Yuhang Han, Chuan Wu, Linfeng Zhang, Bill Shi 10d ago

Staleness-Learning Rate Scaling Laws for Asynchronous RLHF

Analysis of learning rate scaling laws for asynchronous RLHF with stale rollouts in high-throughput LLM training.

Ax Chuanming Yu, Jiaming Liu, Zihao Ge, Xiongfei Wu, Lulu Zhu, Pengzhan Zhao, Jianjun Zhao 10d ago

Quantum vs. Classical Machine Learning: A Unified Empirical Comparison

Empirical comparison of quantum machine learning models against classical approaches on benchmark tasks.

Ax Zijian Zhang, Rizhen Hu, Athanasios Glentis, Dawei Li, Chung-Yiu Yau, Hongzhou Lin, Mingyi Hong 10d ago

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

Study showing single transformer layer RL training matches full-parameter fine-tuning for LLM post-training with GRPO.

Ax Ningyuan Chen, Setareh Farajollahzadeh, Qingwei Jin, Fanni Shen, Guan Wang 10d ago

Learning Consumer Preferences from Bundle Sales Data

Method for estimating consumer preferences from bundle sales transaction data using discrete choice modeling.

Ax Tong Xiao, Jingbo Zhu 10d ago

Introduction to Transformers: an NLP Perspective

Introduction to Transformer architecture, key refinements, and applications in natural language processing.

Ax Mukesh Sahani, Binanda Sengupta 10d ago

Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability

Privacy-preserving split learning with blockchain auditability for distributed deep learning across multiple nodes.

Ax Alexander Ororbia, Karl Friston, Rajesh P. N. Rao 10d ago

Meta-Representational Predictive Coding: Neuroscience-Informed Self-Supervised Learning

Self-supervised learning approach inspired by neuroscience using predictive coding with biologically plausible credit assignment.

Ax Mikel Zhobro, Andreas Ren\'e Geist, Georg Martius 10d ago

Learning 3D-Gaussian Simulators from RGB Videos

Learning physics simulators from RGB video using 3D Gaussians without privileged information for robotics and animation.

Ax Wenji Fang, Jing Wang, Yao Lu, Shang Liu, Yuchao Wu, Yuzhe Ma, Zhiyao Xie 10d ago

A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA

Survey of foundation models for VLSI circuit design and EDA using self-supervised pre-training on circuit data.

Ax Abdullah Burkan Bereketoglu 10d ago

Composite Reward Design in PPO-Driven Adaptive Filtering

PPO-driven adaptive filtering with composite reward design for denoising in dynamic, non-stationary environments like wireless signals and biomedical monitoring.

Ax Salahuddin Salahuddin, Ahmed Hussain, Jussi L\"opp\"onen, Toni Jutila 10d ago

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens

Domain-adaptive continuous pre-training specializes LLMs for cybersecurity analysis with minimal tokens and HPC efficiency for reduced computational requirements.

Ax Milan Marocchi, Matthew Fynn, Kayapanda Mandana, Yue Rong 10d ago

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

Deep learning approach for cardiovascular disease detection via heart sound classification using synthetic and augmented phonocardiogram and electrocardiogram signals.

Ax Raj Ghugare, Roger Creus Castanyer, Catherine Ji, Kathryn Wantlin, Jin Schofield, Karthik Narasimhan, Benjamin Eysenbach 10d ago

BuilderBench: The Building Blocks of Intelligent Agents

BuilderBench evaluates AI agents on acquiring skills through interaction and exploration rather than mimicry, measuring scalable learning mechanisms for novel problem-solving.

Ax Andy Shi 10d ago

A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting

250m resolution NEXRAD radar dataset for machine learning precipitation nowcasting with fine-scale storm structures enabling extreme weather prediction.

Ax Tiancheng Hu, Benjamin Minixhofer, Nigel Collier 10d ago

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging

Model merging technique navigates alignment-calibration trade-off by interpolating LLM weights, achieving Pareto-superior frontier without sacrificing task accuracy or calibration.

Ax Bakytzhan Alibekov, Alina Gutoreva, Elisa Raffaella-Ferre 10d ago

Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity

Computational framework using deep learning and LLMs to model human neurophysiological adaptation to altered gravity in spaceflight scenarios.

Ax Chaomeng Lu, Bert Lagaisse 10d ago

From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection

Evaluates deep learning and LLM-based vulnerability detection in real-world conditions, revealing gaps between benchmark and production performance for cybersecurity.

Ax Sophie Zhao 10d ago

Probing Spectrum-Like Organization of States of Mind in Transformer Representation Spaces

Investigates spectrum-like organization of mental states in transformer representation spaces using annotated natural language sentences with continuous and ordinal scores.

Ax Hyeonjeong Ha, Jinjin Ge, Bo Feng, Kaixin Ma, Gargi Chakraborty 10d ago

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding

NarrativeTrack benchmark evaluates multimodal LLMs on entity-centric reasoning and temporal understanding in video narratives with dynamic visual contexts.

Ax Masum Hasan, Junjie Zhao, Ehsan Hoque 10d ago

HAL: Inducing Human-likeness in LLMs with Alignment

HAL framework aligns LLMs to conversational human-likeness using interpretable, data-driven methods rather than relying solely on scale or broad supervised training.

Ax Valentine Olanubi (University of Alabama, Department of Mathematics), Phineas Agar (University of Alabama, Department of Mathematics), Brendan Ames (University of Southampton, School of Mathematical Sciences) 10d ago

Provably Finding a Hidden Dense Submatrix among Many Planted Dense Submatrices via Convex Programming

Convex programming approach to finding hidden dense submatrices among multiple planted dense submatrices with combinatorial optimization applications.

Ax Fengyuan Liu, Jay Gala, Nilaksh, Dzmitry Bahdanau, Siva Reddy, Hugo Larochelle 10d ago

BRIDGE: Predicting Human Task Completion Time From Model Performance

BRIDGE maps model benchmark performance to human task completion time via psychometric framework, scaling AI capability evaluation without extensive annotations.

Ax Emilio Cruciani, Sebastian Forster, Antonis Skarlatos 10d ago

Incremental (k, z)-Clustering on Graphs

Incremental (k,z)-clustering solves graph clustering problems under adversarial edge updates with explicit solution maintenance in dynamic settings.

Ax Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Haoxuan Li, Hao Wang, Shijian Wang, Guanting Dong, Jiajie Jin, Yinuo Wang, Yuan Lu, Ji-Rong Wen, Zhicheng Dou, Zhouchen Lin 10d ago

OmniGAIA: Towards Native Omni-Modal AI Agents

OmniGAIA is a benchmark for evaluating omni-modal AI agents with vision, audio, and language capabilities for complex reasoning and tool usage tasks.

Ax Somjit Roy, Pritam Dey, Bani K. Mallick 10d ago

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees

VaSST introduces a probabilistic framework for symbolic regression using variational inference and soft symbolic trees with uncertainty quantification for scientific discovery.

Ax Drew Prinster, Clara Fannjiang, Ji Won Park, Kyunghyun Cho, Anqi Liu, Suchi Saria, Samuel Stanton 10d ago

Conformal Policy Control

Conformal Policy Control uses safe reference policies to regulate untested agent behaviors, balancing exploration and safety constraints in high-stakes environments.

Ax Yinpeng Wu, Yitong Chen, Lixiang Wang, Jinyu Gu, Zhichao Hua, Yubin Xia 10d ago

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation

FlexServe enables privacy-preserving LLM inference on mobile devices using ARM TrustZone for secure model weight and user data protection against OS-level attacks.

Ax Eden Saig, Tamar Garbuz, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz 10d ago

Adaptive Contracts for Cost-Effective AI Delegation

Adaptive contracts framework for cost-effective AI delegation balancing evaluation noise and costs in pay-for-performance tasks.

Ax Zekun Qian, Wei Feng, Ruize Han, Junhui Hou 10d ago

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

COVTrack++: open-vocabulary multi-object tracking using continuous video data and foundation models for novel objects.

Ax Ye Mao, Weixun Luo, Ranran Huang, Junpeng Jing, Krystian Mikolajczyk 10d ago

RGB-Pointmap Pretraining for Unified 3D Scene Understanding

UniScene3D: transformer framework for 3D scene understanding via RGB-Pointmap alignment with CLIP pretraining.

Ax Carles Domingo-Enrich, Jiequn Han 10d ago

Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control

Adjoint matching framework for learning optimal controls in diffusion/flow models via stochastic optimal control theory.

Ax Jiacheng Liu, Xiaohan Zhao, Xinyi Shang, Zhiqiang Shen 10d ago

Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems

Analysis of Claude Code agentic system architecture with comparison to OpenClaw and Hermes Agent identifying design principles.

Ax Zenghui Zhou, Man Li, Xiaoke Fang, Xinyi Zhou, Weibin Lin, Zheng Zheng 10d ago

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs

LGMT: logic-grounded metamorphic testing framework for evaluating LLM reasoning robustness using first-order logic.

Ax Minhao Yao, Ruoyu Wang, Xihong Lin, Lin Liu, Zhonghua Liu 10d ago

Gradient-Flow Optimization as Dynamic Random-Effects Inference: Testing and Early Stopping with Applications to Deep Learning

Statistical framework viewing gradient-flow optimization as random-effects inference with applications to early stopping in deep learning.

Ax Daisuke Inoue, Dante Kalise, Mathieu Lauri\`ere 10d ago

Estimating Individualized Treatment Effects in Acute Ischemic Stroke with Causal Transformation Models (TRAM-DAG): A Multi-Centre Observational Study with External RCT Validation

Multi-center observational study using causal models to estimate individualized treatment effects in acute ischemic stroke.