Most Cited NEURIPS "agentic unit test generation" Papers

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Faster Generic Identification in Tree-Shaped Structural Causal Models

Yasmine Briefs, Markus Bläser

Self-Improving Embodied Foundation Models

Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson et al.

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries

Steven Kolawole, Keshav Santhanam, Virginia Smith et al.

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

hanxue liang, Jiawei Ren, Ashkan Mirzaei et al.

Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering

Yiming Wang, Qun Li, Dongxia Chang et al.

MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs

Jan Sobotka, Luca Baroni, Ján Antolík

Safety Pretraining: Toward the Next Generation of Safe AI

Pratyush Maini, Sachin Goyal, Dylan Sam et al.

Toward Interpretable Evaluation Measures for Time Series Segmentation

Félix Chavelli, Paul Boniol, Michaël Thomazo

For Better or for Worse, Transformers Seek Patterns for Memorization

Madhur Panwar, Gail Weiss, Navin Goyal et al.

Prohibiting Generative AI in any Form of Weapon Control

Mary Cummings

PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization

Federico Berto, Chuanbo Hua, Laurin Luttmann et al.

Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications

Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm

Yang Xu, Swetha Ganesh, Washim Mondal et al.

ShapeEmbed: a self-supervised learning framework for 2D contour quantification

Anna Foix-Romero, Craig Russell, Alexander Krull et al.

Agnostic Active Learning Is Always Better Than Passive Learning

Steve Hanneke

Scaling and context steer LLMs along the same computational path as the human brain

Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli et al.

Towards Pre-trained Graph Condensation via Optimal Transport

Yeyu Yan, Shuai Zheng, Wenjun Hui et al.

Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration

Nicholas Vincent, Matt Prewitt, Hanlin Li

On the Optimality of the Median-of-Means Estimator under Adversarial Contamination

Xabier de Juan, Santiago Mazuelas

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.

Graph Alignment via Birkhoff Relaxation

Sushil Varma, Irène Waldspurger, Laurent Massoulié

Position: Biology is the Challenge Physics-Informed ML Needs to Evolve

Julien Martinelli

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang, Yejin Kim, Minyoung Lee et al.

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification

Xixi Wan, AIHUA ZHENG, Bo Jiang et al.

Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

jusheng zhang, Yijia Fan, Zimo Wen et al.

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Changyeol Lee, Yongho Shin, Hyung-Chan An

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch et al.

Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"

Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.

PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments

Weijie Zhou, Xuantang Xiong, Yi Peng et al.

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.

Federated Continual Learning via Orchestrating Multi-Scale Expertise

Xiaoyang Yi, Yang Liu, Binhan Yang et al.

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher

IMPROVED LEARNING THEORY FOR KERNEL DISTRIBUTION REGRESSION WITH TWO-STAGE SAMPLING

Alberto González-Sanz, François Bachoc, Jean-Michel Loubes et al.

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy et al.

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

What Expressivity Theory Misses: Message Passing Complexity for GNNs

Niklas Kemper, Tom Wollschläger, Stephan Günnemann

Information-Theoretic Discrete Diffusion

Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding

Yunhai Hu, Tianhua Xia, Zining Liu et al.

UMoE: Unifying Attention and FFN with Shared Experts

Yuanhang Yang, Chaozheng Wang, Jing Li

Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion

Xi Zhang, Yanyi Li, Yisi Luo et al.

Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets

Shaocong Ma, Heng Huang

Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations

Chao Su, Likang Peng, Yuan Sun et al.

A Simple Linear Patch Revives Layer-Pruned Large Language Models

Xinrui Chen, Haoli Bai, Tao Yuan et al.

Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations

Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys et al.

Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective

Chenwang Wu, Yiu-ming Cheung, Bo Han et al.

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks

Ann Huang, Satpreet Harcharan Singh, Flavio Martinelli et al.

A Markov Decision Process for Variable Selection in Branch & Bound

Paul STRANG, Zacharie ALES, Côme Bissuel et al.

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search

Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao et al.

GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data

Lubin Bai, Xiuyuan Zhang, Siqi Zhang et al.

Training the Untrainable: Introducing Inductive Bias via Representational Alignment

Vighnesh Subramaniam, David Mayo, Colin Conwell et al.

DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization

Jiyan Qiu, Lyulin Kuang, Guan Wang et al.

ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos

Shi Chen, Erik Sandström, Sandro Lombardi et al.

Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy

David Dang, Myoung-Gyun Suh, Maodong Gao et al.

Neural Fractional Attention Differential Equations

Qiyu Kang, Wenjun Cui, Xuhao Li et al.

Online Learning in the Repeated Mediated Newsvendor Problem

Nataša Bolić, Tom Cesari, Roberto Colomboni et al.

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations

Yujie Zhu, Charles Hepburn, Matthew Thorpe et al.

Decoupled Entropy Minimization

Jing Ma, Hanlin Li, Xiang Xiang

UniViT: Unifying Image and Video Understanding in One Vision Encoder

feilong tang, xiangan, Haolin Yang et al.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning

Wanlong Liu, Junxiao Xu, Fei Yu et al.

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Kevin Wang, Ishaan Javali, Michał Bortkiewicz et al.

Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning

Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.

Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling

Chenghao Xu, guangtao lyu, Jiexi Yan et al.

Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection

Xiaotian Qiao, Ke Xu, Xianglong Yang et al.

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Zizhao Chen, Yoav Artzi

Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints

Yan Dai, Negin Golrezaei, Patrick Jaillet

Agnostic Continuous-Time Online Learning

Pramith Devulapalli, Changlong Wu, Ananth Grama et al.

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Haibo Wang, Bo Feng, Zhengfeng Lai et al.

Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions

Jiehua Chen, Jiong Guo, Yinghui Wen

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions

Razaib Tariq, Minji Heo, Shahroz Tariq et al.

Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation

Chaeyun Jang, Deukhwan Cho, Seanie Lee et al.

Dyn-O: Building Structured World Models with Object-Centric Representations

Zizhao Wang, Kaixin Wang, Li Zhao et al.

Convergence Rates of Constrained Expected Improvement

Haowei Wang, Jingyi Wang, Zhongxiang Dai et al.

Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization

Zhenhao Zhong, Zhibin Gu, Pengpeng Yang et al.

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao, Zilong Huang, Jiashi Feng et al.

Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion

Xiaojian Ding, Lin Zhao, Xian Li et al.

When Models Don’t Collapse: On the Consistency of Iterative MLE

Daniel Barzilai, Ohad Shamir

FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts

Weihao Bo, Yanpeng Sun, Yu Wang et al.

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

Songjun Tu, Jiahao Lin, Qichao Zhang et al.

Causal Discovery over Clusters of Variables in Markovian Systems

Tara Anand, Adèle Ribeiro, Jin Tian et al.

On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness

Arnav Mehra, Alexandros Psomas

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL

Tong Yang, Bo Dai, Lin Xiao et al.

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

Qiuchen Wang, Ruixue Ding, Yu Zeng et al.

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin, Killian Bakong, Kevin Scaman

Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning

Wenyi Xiao, Leilei Gan

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu, Hanhui Wang, Yiming Xie et al.

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

Nianzu Yang, Songlin Jiang, Jian Ma et al.

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models

Jiajun Fan, Tong Wei, Chaoran Cheng et al.

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG, Rajiv Khanna

Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations

Marton Havasi, Brian Karrer, Itai Gat et al.

Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT

Jiaheng Zhou, Wei Fang, Luyuan Xie et al.

Learning Parameterized Skills from Demonstrations

Vedant Gupta, Haotian Fu, Calvin Luo et al.

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations

David Burt, Renato Berlinghieri, Stephen Bates et al.

Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

Shixiang Liu

A Counterfactual Semantics for Hybrid Dynamical Systems

Andy Zane, Dmitry Batenkov, Rafal Urbaniak et al.

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.

Towards Self-Refinement of Vision-Language Models with Triangular Consistency

Yunlong Deng, Guangyi Chen, Tianpei Gu et al.

On the Role of Hidden States of Modern Hopfield Network in Transformer

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment

Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye

NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling

Hao Zheng, Shiyu Liang, Yuting Zheng et al.

Efficient Rectified Flow for Image Fusion

Zirui Wang, Jiayi Zhang, Tianwei Guan et al.

ECO: Evolving Core Knowledge for Efficient Transfer

Fu Feng, Yucheng Xie, Ruixiao Shi et al.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems

Roman Jacome, Romario Gualdrón-Hurtado, León Suárez-Rodríguez et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models

Hafez Ghaemi, Eilif B. Muller, Shahab Bakhtiari

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster, Anya Sims, Johannes Forkel et al.

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs

Xingang Guo, Yaxin Li, XiangYi Kong et al.

StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations

Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.

Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking

Junhyuk So, Chiwoong Lee, Shinyoung Lee et al.

3D Human Pose Estimation with Muscles

Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong et al.

Towards 3D Objectness Learning in an Open World

Taichi Liu, Zhenyu Wang, Ruofeng Liu et al.

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization

Junpyo Seo, HanbinKoo, jieun yook et al.

CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing

Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.

Reconstruction and Secrecy under Approximate Distance Queries

Shay Moran, Elizaveta Nesterova

VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation

Sicheng Yang, Zhaohu Xing, Lei Zhu

Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm

Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia et al.

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding

Zheyu Zhang, Ziqi Pang, Shixing Chen et al.

Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction

Yuanpei Gao, Qi Yan, Yan Leng et al.

Implicit Modeling for Transferability Estimation of Vision Foundation Models

Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.

Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems

Ni Zhang, Zhiguang Cao

OmniGen-AR: AutoRegressive Any-to-Image Generation

Junke Wang, Xun Wang, Qiushan Guo et al.

Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization

Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan et al.

Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins

ZAIXI ZHANG, Ruofan Jin, Le Cong et al.

State Size Independent Statistical Error Bound for Discrete Diffusion Models

Shintaro Wakasugi, Taiji Suzuki

Differentiable Constraint-Based Causal Discovery

Jincheng Zhou, Mengbo Wang, Anqi He et al.

Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints

Ling Zhan, Junjie Huang, Xiaoyao Yu et al.

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei, Mel White, Sina Alemohammad et al.

Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer

Ruiqi Xue, Ziqian Zhang, Lihe Li et al.

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment

Chu Xu, Zhixin Zhang, Tianyu Jia et al.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search

Vignav Ramesh, Morteza Mardani

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Lifan Zhao, Yanyan Shen, Zhaoyang Liu et al.

Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards

Bryan Wilder, Angela Zhou

Robust Graph Condensation via Classification Complexity Mitigation

Jiayi Luo, Qingyun Sun, Beining Yang et al.

Tree-Guided Diffusion Planner

Hyeonseong Jeon, Cheolhong Min, Jaesik Park

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling

Yuxi Liu, Renjia Deng, Yutong He et al.

MoRIC: A Modular Region-based Implicit Codec for Image Compression

Gen Li, Haotian Wu, Deniz Gunduz

EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale

Yiheng Du, Aditi Krishnapriyan

A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks

Mucong Ding, Bang An, Tahseen Rabbani et al.

3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction

Maria Taktasheva, Lily Goli, Alessandro Fiorini et al.

4KAgent: Agentic Any Image to 4K Super-Resolution

Yushen Zuo, Qi Zheng, Mingyang Wu et al.

Statistical Parity with Exponential Weights

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions

Zhuo Cao, Heming Du, Bingqing Zhang et al.

ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality

Mingzhi Zhu, Ding Shang, Sai Qian Zhang

Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning

Tien Manh Luong, Khai Nguyen, Dinh Phung et al.

Quantum speedup of non-linear Monte Carlo problems

Jose Blanchet, Yassine Hamoudi, Mario Szegedy et al.

Online Feedback Efficient Active Target Discovery in Partially Observable Environments

Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding

Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation

LINHAO LUO, Zicheng Zhao, Reza Haffari et al.

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models

Jarren Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus et al.

PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration

Songhao Wu, Ang Lv, xiao feng et al.

Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering

Clément Yvernes, Emilie Devijver, Adèle Ribeiro et al.

Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models

Chunlong Xie, Kangjie Chen, Shangwei Guo et al.

Temporal-Difference Variational Continual Learning

Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal

Constrained Best Arm Identification

Tyron Lardy, Christina Katsimerou, Wouter Koolen

SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation

Yueyang Hu, Haiyong Jiang, Haoxuan Song et al.

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders

Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri

STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model

Yuang Qi, Na Zhao, Qiyi Yao et al.

Multi-Class Support Vector Machine with Differential Privacy

Jinseong Park, Yujin Choi, Jaewook Lee

EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation

Dongyang Zeng, Yaping Liu, Wei Zhang et al.

Instance-Optimality for Private KL Distribution Estimation

Jiayuan Ye, Vitaly Feldman, Kunal Talwar

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning et al.

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size

Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.

Parameterized Synthetic Text Generation with SimpleStories

Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.

Decomposing motor units through elimination for real-time intention driven assistive neurotechnology

Nicholas Tacca, Bryan Schlink, Jackson Levine et al.

Learning Simple Interpolants for Linear Integer Arithmetic

Minchao Wu, Naoki Kobayashi

Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion

Lei Cao, Hao Zhang, Chunyu Li et al.

Heterogeneous Diffusion Structure Inference for Network Cascade

Siyu Huang, Abdul Basit Adeel, Yubai Yuan

How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective

Yanbiao Ji, Yue Ding, Dan Luo et al.

Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling

Eray Erturk, Saba Hashemi, Maryam Shanechi

Generalized Linear Mode Connectivity for Transformers

Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis et al.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.

Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services

Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.

Reverse Engineering Human Preferences with Reinforcement Learning

Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos et al.

TF-MAS: Training-free Mamba2 Architecture Search

Yi Fan, Yu-Bin Yang

REMI: Reconstructing Episodic Memory During Internally Driven Path Planning

Zhaoze Wang, Genela Morris, Dori Derdikman et al.

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards

Yuwei Cheng, Zifeng Zhao, Haifeng Xu

OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation

Mohamed Abdelfattah, Kaouther Messaoud, Alexandre Alahi

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Frank (Fangzheng) Xu, Yufan Song, Boxuan Li et al.

CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention

Xiaomeng Hu, Fei Huang, Chenhan Yuan et al.

Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization

Ming Nie, Chunwei Wang, Jianhua Han et al.

Learning Interactive World Model for Object-Centric Reinforcement Learning

Fan Feng, Phillip Lippe, Sara Magliacane

BADiff: Bandwidth Adaptive Diffusion Model

Xi Zhang, Hanwei Zhu, Yan Zhong et al.

Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective

Wei Feng, Zongyuan Ge

Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models

Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning

Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge et al.

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Wenyao Zhang, Hongsi Liu, Zekun Qi et al.

MixAT: Combining Continuous and Discrete Adversarial Training for LLMs

Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov et al.

Looking Into the Water by Unsupervised Learning of the Surface Shape

Ori Lifschitz, Tali Treibitz, Dan Rosenbaum

Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation

Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye et al.

Distribution Learning Meets Graph Structure Sampling

Arnab Bhattacharyya, Sutanu Gayen, Philips George John et al.

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems

Saeed Amizadeh, Sara Abdali, Yinheng Li et al.

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning

GUOGUO AI, Hezhe Qiao, Hui Yan et al.

Reward-oriented Causal Representation Learning

Zirui Yan, Emre Acartürk, Ali Tajer

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes

Sean Lamont, Christian Walder, Amir Dezfouli et al.

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.