ICLR

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks

Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

Comments 10 pages, 6 figures

Journal ref International Conference on Learning Representations (ICLR) 2025

MiniPLM: Knowledge Distillation for Pre-Training Language Models

Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

Comments ICLR 2025

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph

Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu

Comments ICLR 2025

From Commands to Prompts: LLM-based Semantic File System for AIOS

Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang

Comments Accepted by International Conference on Learning Representations 2025(ICLR2025)

Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling

Guiyu Zhang, Huan-ang Gao, Zijian Jiang, Hao Zhao, Zhedong Zheng

Comments ICLR 2025

Data Selection via Optimal Control for Language Models

Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

Comments ICLR 2025 Oral

DynFrs: An Efficient Framework for Machine Unlearning in Random Forest

Shurong Wang, Zhuoyang Shen, Xinbao Qiao, Tongning Zhang, Meng Zhang

Comments Accepted by ICLR 2025

Zero-shot forecasting of chaotic systems

Yuanzhao Zhang, William Gilpin

Comments 13th International Conference on Learning Representations (ICLR 2025)

ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yining Liu, Yingzhe He, Jie Shi, Xiaolin Hu

Comments ICLR 2025, fix typos in the proof

ReAttention: Training-Free Infinite Context with Finite Attention Scope

Xiaoran Liu, Ruixiao Li, Qipeng Guo, Zhigeng Liu, Yuerong Song, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu

Comments 21 pages, 11 figures, Accepted by ICLR 2025

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian

Comments ICLR 2025

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models

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

Comments Published at ICLR 2025. Project page available at https://jayneelparekh.github.io/VisCoIN_project_page/

SAVA: Scalable Learning-Agnostic Data Valuation

Samuel Kessler, Tam Le, Vu Nguyen

Comments Accepted at ICLR 2025. 27 pages, 12 figures

On the Fourier analysis in the SO(3) space : EquiLoPO Network

Dmitrii Zhemchuzhnikov, Sergei Grudinin

Journal ref conference paper at ICLR 2025

SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning

Hongjun Wang, Sagar Vaze, Kai Han

Comments v3: Fix bold typos in table 2 and 3; v2: Update DINOv2 results; Accepted as a conference paper at ICLR 2024; Project page: https://visual-ai.github.io/sptnet

Tailoring Mixup to Data for Calibration

Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc

Comments Published at ICLR 2025. The code available at https://github.com/qbouniot/sim_kernel_mixup

Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision

Aleksandra Franz, Barbara Solenthaler, Nils Thuerey

Comments ICLR 2023 poster, source code: https://github.com/tum-pbs/Neural-Global-Transport

Auto-Encoding Goodness of Fit

Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi

Comments The Eleventh International Conference on Learning Representations. 2023

EnvBench: A Benchmark for Automated Environment Setup

Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin, Egor Bogomolov, Yaroslav Zharov

Comments Accepted at the DL4Code workshop at ICLR'25

RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment

Chao Wang, Giulio Franzese, Alessandro Finamore, Pietro Michiardi

Comments to appear at ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy

Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective

Ambarish Moharil, Indika Kumara, Damian Andrew Tamburri, Majid Mohammadi, Willem-Jan van den Heuvel

Comments Accepted at the ICLR Workshop on Neural Network Weights as a New Data Modality 2025

Decision Tree Induction Through LLMs via Semantically-Aware Evolution

Tennison Liu, Nicolas Huynh, Mihaela van der Schaar

Comments *Liu and Huynh contributed equally. Published as a conference paper at ICLR 2025

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Dae-Shik Kim

Comments ICLR 2025, Code and dataset are available at \url{https://github.com/jdg900/MMR}

Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection

Chunlei Li, Yilei Shi, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou

Comments ICLR 2025

INPROVF: Leveraging Large Language Models to Repair High-level Robot Controllers from Assumption Violations

Qian Meng, Jin Peng Zhou, Kilian Q. Weinberger, Hadas Kress-Gazit

Comments To appear in ICLR 2025 Workshop: VerifAI: AI Verification in the Wild; in submission to 2025 IEEE 21th International Conference on Automation Science and Engineering (CASE), Los Angeles, CA, USA: IEEE, Aug. 2025

Superalignment with Dynamic Human Values

Florian Mai, David Kaczér, Nicholas Kluge Corrêa, Lucie Flek

Comments Published at the ICLR 2025 Workshop on Bidirectional Human-AI Alignment (BiAlign)

Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data

Mengbing Liu, Xin Li, Jiancheng An, Chau Yuen

Comments Accepted to the Machine Learning for Remote Sensing (ML4RS) Workshop at ICLR 2025

Reinforcement learning with combinatorial actions for coupled restless bandits

Lily Xu, Bryan Wilder, Elias B. Khalil, Milind Tambe

Comments To appear at ICLR 2025. Code at https://github.com/lily-x/combinatorial-rmab

Journal ref The Thirteenth International Conference on Learning Representations (ICLR 2025)

Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs

Rohit Saxena, Aryo Pradipta Gema, Pasquale Minervini

Comments Accepted at the ICLR 2025 Workshop on Reasoning and Planning for Large Language Models

TFG-Flow: Training-free Guidance in Multimodal Generative Flow

Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

Journal ref ICLR 2025