Most Cited ICML "deep gnns" Papers

Minimalist Concept Erasure in Generative Models

Yang Zhang, Er Jin, Yanfei Dong et al.

Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies

Ahmed Boughdiri, julie Josse, Erwan Scornet

Communicating Activations Between Language Model Agents

Vignav Ramesh, Kenneth Li

MedRAX: Medical Reasoning Agent for Chest X-ray

Adibvafa Fallahpour, Jun Ma, Alif Munim et al.

On the Power of Learning-Augmented Search Trees

Jingbang Chen, Xinyuan Cao, Alicia Stepin et al.

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing

Zijie Qiu, Jiaqi Wei, Xiang Zhang et al.

Latent Variable Causal Discovery under Selection Bias

Haoyue Dai, Yiwen Qiu, Ignavier Ng et al.

WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models

Tan Songbai, Xuerui Qiu, Yao Shu et al.

LEVIS: Large Exact Verifiable Input Spaces for Neural Networks

Mohamad Chehade, Wenting Li, Brian Bell et al.

Diversifying Robot Locomotion Behaviors with Extrinsic Behavioral Curiosity

Zhenglin Wan, Xingrui Yu, David Bossens et al.

Overcoming Non-monotonicity in Transducer-based Streaming Generation

Zhengrui Ma, Yang Feng, Min zhang

Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set

Enming Liang, Minghua Chen

Time-Aware World Model for Adaptive Prediction and Control

Anh Nhu, Sanghyun Son, Ming Lin

A Mixture-Based Framework for Guiding Diffusion Models

Yazid Janati, Badr MOUFAD, Mehdi Qassime et al.

CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities

Yuxuan Zhu, Antony Kellermann, Dylan Bowman et al.

Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer

Yilong Chen, Junyuan Shang, Zhenyu Zhang et al.

Conformal Tail Risk Control for Large Language Model Alignment

Catherine Chen, Jingyan Shen, Xinyu Yang et al.

Aligning LLMs by Predicting Preferences from User Writing Samples

Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald et al.

MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters

Arsalan Sharifnassab, Saber Salehkaleybar, Rich Sutton

In-Context Deep Learning via Transformer Models

Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu et al.

Learning dynamics in linear recurrent neural networks

Alexandra Proca, Clémentine Dominé, Murray Shanahan et al.

Benign Overfitting in Token Selection of Attention Mechanism

Keitaro Sakamoto, Issei Sato

On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding

Kevin Xu, Issei Sato

Structured Preconditioners in Adaptive Optimization: A Unified Analysis

Shuo Xie, Tianhao Wang, Sashank J. Reddi et al.

KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis

Hanru Bai, Weiyang Ding

Structure-informed Risk Minimization for Robust Ensemble Learning

Fengchun Qiao, Yanlin Chen, Xi Peng

Feasible Action Search for Bandit Linear Programs via Thompson Sampling

Aditya Gangrade, Aldo Pacchiano, Clay Scott et al.

Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning

Zhenghai Xue, Lang Feng, Jiacheng Xu et al.

AuPair: Golden Example Pairs for Code Repair

Aditi Mavalankar, Hassan Mansoor, Zita Marinho et al.

Deep Streaming View Clustering

Honglin Yuan, Xingfeng Li, Jian Dai et al.

Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning

Lang Pu, Jingjing Gu, Chao Lin et al.

Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams

Yuan Feng, Yukun Cao, Hairu Wang et al.

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM

Zhuofan Zong, Dongzhi Jiang, Bingqi Ma et al.

Risk and cross validation in ridge regression with correlated samples

Alexander Atanasov, Jacob A Zavatone-Veth, Cengiz Pehlevan

Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations

Zhengming Chen, Yewei Xia, Feng Xie et al.

Online Learning in the Random-Order Model

Martino Bernasconi, Andrea Celli, Riccardo Colini Baldeschi et al.

On the Similarities of Embeddings in Contrastive Learning

Chungpa Lee, Sehee Lim, Kibok Lee et al.

VerbalTS: Generating Time Series from Texts

Shuqi Gu, Chuyue Li, Baoyu Jing et al.

Private Model Personalization Revisited

Conor Snedeker, Xinyu Zhou, Raef Bassily

Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle

Hui Dai, Ryan Teehan, Mengye Ren

Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing

Zhuoying Li, Zhu Xu, Yuxin Peng et al.

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms

Julius Von Rohrscheidt, Bastian Rieck

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning

Mengmeng Chen, Xiaohu Wu, QIQI LIU et al.

Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts

Li gengluo, Huawen Shen, Yu ZHOU

Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres

Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral et al.

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration

Yuanchen Wu, Ke Yan, Shouhong Ding et al.

Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning

Wenhao Zhao, Qiushui Xu, Linjie Xu et al.

Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion

Minsung Hwang, Jaejun Lee, Joyce Whang

Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices

Junhao Dong, Piotr Koniusz, Yifei Zhang et al.

Inverse problems with experiment-guided AlphaFold

Sai Advaith Maddipatla, Nadav Bojan, Meital Bojan et al.

Cross-regularization: Adaptive Model Complexity through Validation Gradients

Carlos Stein Naves de Brito

CTBench: A Library and Benchmark for Certified Training

Yuhao Mao, Stefan Balauca, Martin Vechev

Average Certified Radius is a Poor Metric for Randomized Smoothing

Chenhao Sun, Yuhao Mao, Mark Müller et al.

Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models

Haoyu Wang, Shikun Liu, Rongzhe Wei et al.

Identifying and Understanding Cross-Class Features in Adversarial Training

Zeming Wei, Yiwen Guo, Yisen Wang

Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups

Weiqiu You, Helen Qu, Marco Gatti et al.

Ad-Hoc Human-AI Coordination Challenge

Tin Dizdarevic, Ravi Hammond, Tobias Gessler et al.

Revisiting Unbiased Implicit Variational Inference

Tobias Pielok, Bernd Bischl, David Rügamer

MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition

ning wang, Zekun Li, Tongxin Bai et al.

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling

Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin et al.

Stochastic Encodings for Active Feature Acquisition

Alexander Norcliffe, Changhee Lee, Fergus Imrie et al.

Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves

Mykhailo Uss, Ruslan Yermolenko, Oleksii Shashko et al.

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples

Zijing Hu, Fengda Zhang, Kun Kuang

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals

Nico Pelleriti, Max Zimmer, Elias Wirth et al.

Models of Heavy-Tailed Mechanistic Universality

Liam Hodgkinson, Zhichao Wang, Michael Mahoney

Discovering Latent Causal Graphs from Spatiotemporal Data

Kun Wang, Sumanth Varambally, Duncan Watson-Parris et al.

Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?

Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk

SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion

Junwei Su, shan Wu

BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization

Zijun Liao, Jinbiao Chen, Debing Wang et al.

Identifying Metric Structures of Deep Latent Variable Models

Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi et al.

CoDy: Counterfactual Explainers for Dynamic Graphs

Zhan Qu, Daniel Gomm, Michael Färber

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation

Yining Pan, Qiongjie Cui, Xulei Yang et al.

Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel

Xiangchao Li, Xiao Han, Qing Yang

Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning

Minqi Yu, Jinduo Liu, Junzhong Ji

Online Clustering of Dueling Bandits

Zhiyong Wang, Jiahang Sun, Mingze Kong et al.

Learnable Spatial-Temporal Positional Encoding for Link Prediction

Katherine Tieu, Dongqi Fu, Zihao Li et al.

Elucidating the Design Space of Multimodal Protein Language Models

Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang et al.

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing

Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.

Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts

Chengyi Cai, Zesheng Ye, Lei Feng et al.

Automatically Interpreting Millions of Features in Large Language Models

Gonçalo Paulo, Alex Mallen, Caden Juang et al.

Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness

Yibo Xu, Dawei Zhou, Decheng Liu et al.

On Differential Privacy for Adaptively Solving Search Problems via Sketching

Shiyuan Feng, Ying Feng, George Li et al.

Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos

Tianyi Zhang, Yu Cao, Dianbo Liu

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling

Xiangxin Zhou, Mingyu Li, xiao yi et al.

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

Yujin Han, Andi Han, Wei Huang et al.

Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification

Teng Huang, Bin-Bin Jia, Min-Ling Zhang

Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data

Krzysztof Kacprzyk, Julianna Piskorz, Mihaela van der Schaar

Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead

Won-Jun Jang, Hyeon-Seo Park, Si-Hyeon Lee

Prediction-Powered Adaptive Shrinkage Estimation

Sida Li, Nikolaos Ignatiadis

Understanding Mode Connectivity via Parameter Space Symmetry

Bo Zhao, Nima Dehmamy, Robin Walters et al.

Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion

Xiyue Zhu, Dou Kwark, Ruike Zhu et al.

The Logical Implication Steering Method for Conditional Interventions on Transformer Generation

Damjan Kalajdzievski

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation

Tianci Bu, Le Zhou, Wenchuan Yang et al.

Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency

Georg Bökman, David Nordström, Fredrik Kahl

Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap

Xiaoyu Li, Zhao Song, Shenghao Xie

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

Eray Erturk, Fahad Kamran, Salar Abbaspourazad et al.

Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision

Anqi Lu, Junchi Yan

Unified Screening for Multiple Diseases

Yiğit Narter, Alihan Hüyük, Mihaela van der Schaar et al.

Generalization and Robustness of the Tilted Empirical Risk

Gholamali Aminian, Amir R. Asadi, Tian Li et al.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

Hyeongwon Jang, Changhun Kim, Eunho Yang

Diving into Self-Evolving Training for Multimodal Reasoning

Wei Liu, Junlong Li, Xiwen Zhang et al.

Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation

Cheng Jin, Zhenyu Xiao, Chutao Liu et al.

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

Zhihua Liu, Amrutha Saseendran, Lei Tong et al.

Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference

Junbin Liu, Farzan Farnia, Wing-Kin Ma

Attention-Level Speculation

Jack Cai, Ammar Vora, Randolph Zhang et al.

GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

Jiashu HE, Mingyu Ma, Jinxuan Fan et al.

any4: Learned 4-bit Numeric Representation for LLMs

Mostafa Elhoushi, Jeff Johnson

Feature Shift Localization Network

Míriam Barrabés, Daniel Mas Montserrat, Kapal Dev et al.

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training

Jinbo Wang, Mingze Wang, Zhanpeng Zhou et al.

Contract Design Under Approximate Best Responses

Francesco Bacchiocchi, Jiarui Gan, Matteo Castiglioni et al.

A Closer Look at Backdoor Attacks on CLIP

Shuo He, Zhifang Zhang, Feng Liu et al.

Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models

Yinhong Liu, Zhijiang Guo, Tianya Liang et al.

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach

Xunkai Li, Zhengyu Wu, Kaichi Yu et al.

PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation

Albert Gong, Kamilė Stankevičiūtė, Chao Wan et al.

Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval

Guofeng Ding, Yiding Lu, Peng Hu et al.

Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning

Xiangqi Li, Libo Huang, Zhulin An et al.

Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers

Jiacheng Cheng, Xiwen Yao, Xiang Yuan et al.

Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

Yike Yuan, Ziyu Wang, Zihao Huang et al.

Conformal Anomaly Detection in Event Sequences

Shuai Zhang, Chuan Zhou, Yang Liu et al.

When to retrain a machine learning model

Florence Regol, Leo Schwinn, Kyle Sprague et al.

Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Dejia Xu, Yifan Jiang, Chen Huang et al.

EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

Guancheng Wan, Zewen Liu, Xiaojun Shan et al.

Pareto-frontier Entropy Search with Variational Lower Bound Maximization

Masanori Ishikura, Masayuki Karasuyama

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning

Gaole Dai, Chun-Kai Fan, Yiming Tang et al.

Learning Invariant Causal Mechanism from Vision-Language Models

Zeen Song, Siyu Zhao, Xingyu Zhang et al.

Emergent Response Planning in LLMs

Zhichen Dong, Zhanhui Zhou, Zhixuan Liu et al.

Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails

Jindong Tong, Hongcheng Liu, Johannes Royset

Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness

Yuntao Wang, Yuxuan Li, Qingyuan Yang et al.

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning

Thalles Silva, Helio Pedrini, Adín Ramírez Rivera

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention

Han Li, Fei Liu, Zhi Zheng et al.

BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training

Chenyi yang, Wenjie Nie, Yuxin Zhang et al.

VCT: Training Consistency Models with Variational Noise Coupling

Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai et al.

Learning from True-False Labels via Multi-modal Prompt Retrieving

Zhongnian Li, Jinghao Xu, Peng Ying et al.

Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks

Keyue Qiu, Yuxuan Song, Jie Yu et al.

Automated Benchmark Generation for Repository-Level Coding Tasks

Konstantinos Vergopoulos, Mark Müller, Martin Vechev

RAGGED: Towards Informed Design of Scalable and Stable RAG Systems

Jennifer Hsia, Afreen Shaikh, Zhiruo Wang et al.

A General Representation-Based Approach to Multi-Source Domain Adaptation

Ignavier Ng, Yan Li, Zijian Li et al.

Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging

Ansgar Lößer, Max Schlecht, Florian Schintke et al.

ParallelComp: Parallel Long-Context Compressor for Length Extrapolation

Jing Xiong, Jianghan Shen, Chuanyang Zheng et al.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization

Zijian Liu, Zhengyuan Zhou

Local Pan-privacy for Federated Analytics

Vitaly Feldman, Audra McMillan, Guy Rothblum et al.

Topological Signatures of Adversaries in Multimodal Alignments

Minh Vu, Geigh Zollicoffer, Huy Mai et al.

DeepLayout: Learning Neural Representations of Circuit Placement Layout

Yuxiang Zhao, zhuomin chai, Xun Jiang et al.

Accelerated Diffusion Models via Speculative Sampling

Valentin De Bortoli, Alexandre Galashov, Arthur Gretton et al.

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Zhenni Bi, Kai Han, Chuanjian Liu et al.

A Selective Learning Method for Temporal Graph Continual Learning

Hanmo Liu, Shimin Di, Haoyang LI et al.

Predictive Performance of Deep Quantum Data Re-uploading Models

Xin Wang, Hanxiao Tao, Re-Bing Wu

Scalable First-order Method for Certifying Optimal k-Sparse GLMs

Jiachang Liu, Soroosh Shafiee, Andrea Lodi

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding

Ziyao Wang, Muneeza Azmat, Ang Li et al.

Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning

Rina Bao, Shilong Dong, Zhenfang Chen et al.

Reinforcement Learning for Quantum Control under Physical Constraints

Jan Ole Ernst, Aniket Chatterjee, Tim Franzmeyer et al.

Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks

Etienne Boursier, Nicolas Flammarion

Knowledge Swapping via Learning and Unlearning

Mingyu Xing, Lechao Cheng, Shengeng Tang et al.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees

William de Vazelhes, Xiaotong Yuan, Bin Gu

Teaching Physical Awareness to LLMs through Sounds

Weiguo Wang, Andy Nie, Wenrui Zhou et al.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal

Deheng Yuan, Tao Guo, Zhongyi Huang

Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning

Austin Nguyen, Anri Gu, Michael Wellman

Generalization of noisy SGD in unbounded non-convex settings

Leello Dadi, Volkan Cevher

Compute or Load KV Cache? Why Not Both?

Shuowei Jin, Xueshen Liu, Qingzhao Zhang et al.

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition

Yuhuan Yang, Chaofan Ma, Zhenjie Mao et al.

An All-Atom Generative Model for Designing Protein Complexes

Ruizhe Chen, Dongyu Xue, Xiangxin Zhou et al.

3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors

Yujun Huang, Bin Chen, Niu Lian et al.

Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Baohao Liao, Yuhui Xu, Hanze Dong et al.

Online Differentially Private Conformal Prediction for Uncertainty Quantification

Gradient Aligned Regression via Pairwise Losses

Dixian Zhu, Tianbao Yang, Livnat Jerby

A Bregman Proximal Viewpoint on Neural Operators

Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo et al.

Fine-Grained Captioning of Long Videos through Scene Graph Consolidation

Sanghyeok Chu, Seonguk Seo, Bohyung Han

Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization

Xinyu Luo, Cedar Site Bai, Bolian Li et al.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models

Xinting Liao, Weiming Liu, Jiaming Qian et al.

Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity

Alessandro Montenegro, Marco Mussi, Matteo Papini et al.

ADIOS: Antibody Development via Opponent Shaping

Sebastian Towers, Aleksandra Kalisz, Philippe Robert et al.

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

Lukas Thede, Karsten Roth, Matthias Bethge et al.

Autoencoder-Based Hybrid Replay for Class-Incremental Learning

Milad Khademi Nori, Il-Min Kim, Guanghui Wang

Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network

Jijia Liu, Feng Gao, Qingmin Liao et al.

Habitizing Diffusion Planning for Efficient and Effective Decision Making

Haofei Lu, Yifei Shen, Dongsheng Li et al.

Fast Tensor Completion via Approximate Richardson Iteration

Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook et al.

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

Jing Huang, Junyi Tao, Thomas Icard et al.

Improving Memory Efficiency for Training KANs via Meta Learning

Zhangchi Zhao, Jun Shu, Deyu Meng et al.

No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets

Corinna Coupette, Jeremy Wayland, Emily Simons et al.

MARS: Unleashing the Power of Variance Reduction for Training Large Models

Huizhuo Yuan, Yifeng Liu, Shuang Wu et al.

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing

Dongliang Guo, Mengxuan Hu, Zihan Guan et al.

SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization

Yan Liu, Mingjie Chen, Chaojie Ji et al.

Quadratic Upper Bound for Boosting Robustness

Euijin You, Hyang-Won Lee

C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning

Zifan LIU, Xinran Li, Jun Zhang

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

Phillip Guo, Aaquib Syed, Abhay Sheshadri et al.

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills

Aidan Curtis, Eric Li, Michael S Noseworthy et al.

Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions

Jiahua Rao, Dahao Xu, Wentao Wei et al.

All-atom inverse protein folding through discrete flow matching

Kai Yi, Kiarash Jamali, Sjors Scheres

Progressively Label Enhancement for Large Language Model Alignment

Biao Liu, Ning Xu, Xin Geng

Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders

Charles O'Neill, Alim Gumran, David Klindt

Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization

Cameron Jakub, Mihai Nica

Topology-aware Neural Flux Prediction Guided by Physics

Haoyang Jiang, Jindong Wang, Xingquan Zhu et al.

KernelBench: Can LLMs Write Efficient GPU Kernels?

Anne Ouyang, Simon Guo, Simran Arora et al.

DIS-CO: Discovering Copyrighted Content in VLMs Training Data

André Duarte, Xuandong Zhao, Arlindo Oliveira et al.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games

Yi Feng, Kaito Fujii, EFSTRATIOS PANTELEIMON SKOULAKIS et al.

DPO Meets PPO: Reinforced Token Optimization for RLHF

Han Zhong, Zikang Shan, Guhao Feng et al.

Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?

Ren-Biao Liu, Anqi Li, ChaodingYang et al.

Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning

Ankit Pratap Singh, Ahmed Abbasi, Namrata Vaswani

Safe-EF: Error Feedback for Non-smooth Constrained Optimization

Rustem Islamov, Yarden As, Ilyas Fatkhullin

Understanding Synthetic Context Extension via Retrieval Heads

Xinyu Zhao, Fangcong Yin, Greg Durrett