ICLR 2025 Conference Submissions

Simulation-Based Inference with Uncertainty Quantification using Generative Models in Quantum Chromodynamics
Katherine Keegan, Emil Vatai, Aleksandr Drozd, Pi-Yueh Chuang, Xingfu Wu, nobuo sato, Johann Rudi, Mohamed Wahib
- 26 Sept 2024 (modified: 25 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Parameter Monte Carlo Tree Search: Efficient Chip Placement via Transfer Learning
Mashfiq Shahriar Zaman, Mohan Sai Singamsetti, Mark Bourgeault, Peter Chun, Matthew Guzdial
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff
- Published: 22 Jan 2025, Last Modified: 26 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Performing Interpretability Analysis in Federated Learning Context
Amitash Nanda, sree bhargavi balija
- 26 Sept 2024 (modified: 23 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Rethinking Behavior Regularization in Offline Safe RL: A Region-Based Approach
Jiahui Zhu, Honghao Wei, Lei Ying
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Nonlinear Sequence Embedding by Monotone Variational Inequality
Jonathan Yuyang Zhou, Yao Xie
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Star Attention: Efficient LLM Inference over Long Sequences
Shantanu Acharya, Fei Jia, Boris Ginsburg
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
Haemin Park, Diego Klabjan
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Improving Pretraining Data Using Perplexity Correlations
Tristan Thrush, Christopher Potts, Tatsunori Hashimoto
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Counterfactual Learning under Rank Preservation
Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Logic Agent: Enhancing Validity with Logic Rule Invocation
Hanmeng Liu, Zhiyang Teng, Yue Zhang
- 26 Sept 2024 (modified: 23 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Decoding Intelligence: A Framework for Certifying Knowledge Comprehension in LLMs
Isha Chaudhary, Vedaant V Jain, Gagandeep Singh
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
MultiMedia-Agent: A Multimodal Agent for Multimedia Content Generation
Daoan Zhang, Wenlin Yao, Xiaoyang Wang, Yebowen Hu, Jiebo Luo, Dong Yu
- 26 Sept 2024 (modified: 19 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Self-Play Preference Optimization for Language Model Alignment
Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
- Published: 22 Jan 2025, Last Modified: 04 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Protein Language Model Fitness is a Matter of Preference
Cade W Gordon, Amy X. Lu, Pieter Abbeel
- Published: 22 Jan 2025, Last Modified: 27 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach
Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Dual-Pathway Neural Networks: Harnessing Scene and Object Pathways for Enhanced Visual Understanding
Fahad Sarfraz, Bahram Zonooz, Elahe Arani
- 26 Sept 2024 (modified: 22 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
LoLCATs: On Low-Rank Linearizing of Large Language Models
Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Frederick Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher Re
- Published: 22 Jan 2025, Last Modified: 05 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann
- Published: 22 Jan 2025, Last Modified: 14 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
RoRA-VLM: Robust Retrieval-Augmented Vision Language Models
Jingyuan Qi, Zhiyang Xu, Rulin Shao, Zihao Lin, Yang Chen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
Yuan Zhou, Peng Zhang, Mengya Song, Xuwen Zheng, Yiwen Lu, Zhiheng Liu, Yong Chen, Zhaohan Xi
- 26 Sept 2024 (modified: 18 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
MIRAI: Evaluating LLM Agents for International Event Forecasting
Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini, Adel Javanmard, Murat A Erdogdu
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Conditional Trajectories in Diffusion Models - Modeling Galaxy Evolution from Redshift
Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do
- 26 Sept 2024 (modified: 13 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone