ICLR 2025

3,703 papers

The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures

Xiaoyi MAI, Zhenyu Liao

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai

Beyond Random Augmentations: Pretraining with Hard Views

Fabio Ferreira, Ivo Rapant, Jörg K.H. Franke, Frank Hutter

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng

ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning

Nilo Schwencke, Cyril Furtlehner

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer

Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents

Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang

Enhancing Robust Fairness via Confusional Spectral Regularization

Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu

A Unified Theory of Quantum Neural Network Loss Landscapes

Eric Ricardo Anschuetz

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection

Botao Ren, Xue Yang, Yi Yu, Junwei Luo, Zhidong Deng

FreSh: Frequency Shifting for Accelerated Neural Representation Learning

Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemysław Spurek

CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

Mingjie Liu, Yun-Da Tsai, Wenfei Zhou, Haoxing Ren

Improving Equivariant Networks with Probabilistic Symmetry Breaking

Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Sékou-Oumar Kaba

Uncertainty-Aware Decoding with Minimum Bayes Risk

Nico Daheim, Clara Meister, Thomas Möllenhoff, Iryna Gurevych

Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation

Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski

Language Model Alignment in Multilingual Trolley Problems

Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu

LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing

Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava

Vector-ICL: In-context Learning with Continuous Vector Representations

Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

Nikolai Kalischek, Michael Oechsle, Fabian Manhardt, Philipp Henzler, Konrad Schindler

Severing Spurious Correlations with Data Pruning

Varun Mulchandani, Jung-Eun Kim

Hymba: A Hybrid-head Architecture for Small Language Models

Xin Dong, Yonggan Fu, SHIZHE DIAO, Wonmin Byeon, ZIJIA CHEN

Multi-Reward as Condition for Instruction-based Image Editing

Xin Gu, Ming Li, Libo Zhang, Fan Chen, Longyin Wen

Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization

Yuanchao Wang, Zhao-Rong Lai, Tianqi Zhong

SegLLM: Multi-round Reasoning Segmentation with Large Language Models

Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis

Coreset Selection via Reducible Loss in Continual Learning

Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong

MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines

Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, jiayi lei

Wavelet Diffusion Neural Operator

Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng

Generalizable Human Gaussians from Single-View Image

Jinnan Chen, Chen Li, Jianfeng Zhang, Lingting Zhu, Buzhen Huang

OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?

Zijian Chen, tingzhu chen, Wenjun Zhang, Guangtao Zhai

HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction

Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou

Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond

qizhou wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han

Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM

Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn

Data Pruning by Information Maximization

Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, Xiaojuan Qi

Deep Networks Learn Features From Local Discontinuities in the Label Function

Prithaj Banerjee, Harish Guruprasad Ramaswamy, Mahesh Lorik Yadav, Chandra Shekar Lakshminarayanan

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning

Zihan Ye, Shreyank N Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu

Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models

Hao-Chien Hsueh, Wen-Hsiao Peng, Ching-Chun Huang

TDDBench: A Benchmark for Training data detection

Zhihao Zhu, Yi Yang, Defu Lian

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

Jianhong Bai, Menghan Xia, Xintao Wang, Ziyang Yuan, Zuozhu Liu

The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning

Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

Bias Mitigation in Graph Diffusion Models

Meng Yu, Kun Zhan

DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization

Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong

Data Center Cooling System Optimization Using Offline Reinforcement Learning

Xianyuan Zhan, Xiangyu Zhu, Peng CHENG, Xiao Hu, Ziteng He

Reflective Gaussian Splatting

Yuxuan Yao, Zixuan Zeng, Chun Gu, Xiatian Zhu, Li Zhang

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Qiang Liu, Mengyu Chu, Nils Thuerey

Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long

From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation

Nikita Kotelevskii, Vladimir Kondratyev, Martin Takac, Eric Moulines, Maxim Panov

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization

Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky, Samuel Horváth, Martin Takac

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu

AFlow: Automating Agentic Workflow Generation

Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xiong-Hui Chen

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling

Louis Bradshaw, Simon Colton

RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation

Chenxi Zheng, Yihong Lin, Bangzhen Liu, Xuemiao Xu, Yongwei Nie

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf

Zero-Shot Natural Language Explanations

Fawaz Sammani, Nikos Deligiannis

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Alexey Bochkovskiy, Amael Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou

Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine

Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding

Akash Kumar, Zsolt Kira, Yogesh S Rawat

Active Learning for Neural PDE Solvers

Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models

Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc

MLPs Learn In-Context on Regression and Classification Tasks

William Lingxiao Tong, Cengiz Pehlevan

Adaptive teachers for amortized samplers

Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng

Cut Your Losses in Large-Vocabulary Language Models

Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Kraehenbuehl

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective

Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi

Does Spatial Cognition Emerge in Frontier Models?

Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Kraehenbuehl, Vladlen Koltun

When Selection Meets Intervention: Additional Complexities in Causal Discovery

Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo

Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks

Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandić

Looped Transformers for Length Generalization

Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen

Re-Imagining Multimodal Instruction Tuning: A Representation View

Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani

Order-aware Interactive Segmentation

Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche

A Geometric Framework for Understanding Memorization in Generative Models

Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu

Scaling Optimal LR Across Token Horizons

Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, XIA SONG

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning

Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach

CoMotion: Concurrent Multi-person 3D Motion

Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan Richter, Vladlen Koltun

3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting

Qihang Zhang, Yinghao Xu, Chaoyang Wang, Hsin-Ying Lee, Gordon Wetzstein

SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning

Lun Huang, Qiang Qiu, Guillermo Sapiro

CameraCtrl: Enabling Camera Control for Video Diffusion Models

Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai

TeaserGen: Generating Teasers for Long Documentaries

Weihan Xu, Paul Pu Liang, Haven Kim, Julian McAuley, Taylor Berg-Kirkpatrick

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs

Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh

Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks

Rushang Karia, Daniel Richard Bramblett, Daksh Dobhal, Siddharth Srivastava

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data

Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi

Fourier Sliced-Wasserstein Embedding for Multisets and Measures

Tal Amir, Nadav Dym

Visual Agents as Fast and Slow Thinkers

Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma

Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids

Tianyuan Jin, Qin Zhang, Dongruo Zhou

Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks

Runpeng Yu, Xinchao Wang

A Sanity Check for AI-generated Image Detection

Shilin Yan, Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang

THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS

Huiyang Yi, Yanyan He, Duxin Chen, Mingyu Kang, He Wang

ThinK: Thinner Key Cache by Query-Driven Pruning

Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu

Toward Generalizing Visual Brain Decoding to Unseen Subjects

Xiangtao Kong, Kexin Huang, Ping Li, Lei Zhang

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning

Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang

Causal Information Prioritization for Efficient Reinforcement Learning

Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao

MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Ziyu Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao

Zero-shot forecasting of chaotic systems

Yuanzhao Zhang, William Gilpin

ThermalGaussian: Thermal 3D Gaussian Splatting

Rongfeng Lu, Hangyu Chen, Zunjie Zhu, Yuhang Qin, Ming Lu

What Makes a Good Diffusion Planner for Decision Making?

Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning

Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang