ICLR 2025 Conference Submissions

PIT-QMM: A Large Multimodal Model for No-Reference Point Cloud Quality Assessment
Shashank Gupta, Gregoire Phillips, Alan Bovik
- 28 Sept 2024 (modified: 22 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Network-based Active Inference for Adaptive and Cost-efficient Real-World Applications: PV Panel Inspection
Harneet Singh, Jeong hwan Yoon, Pedro Fontana, Katherine Hanson, Whitney Sales, Varun Kamat, Karl Friston
- 28 Sept 2024 (modified: 15 Jan 2025)
- ICLR 2025 Conference Desk Rejected Submission
- Readers: Everyone
Deep Learning Aided Broadcast Codes With Feedback
Jacqueline R Malayter, Christopher Brinton, David Love
- 28 Sept 2024 (modified: 24 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Quality Measures for Dynamic Graph Generative Models
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
- Published: 22 Jan 2025, Last Modified: 15 Mar 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Backoff Decoding: A Language Model Inference Acceleration Framework with a Tunable Efficiency-Performance Tradeoff
Maximilian Holsman, Yukun Huang, Rickard Stureborg, Bhuwan Dhingra
- 28 Sept 2024 (modified: 22 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
SemCLIP: Aligning vision-language encoder models to semantic spaces for stability in retrieval
Tanveer Syeda-mahmood, Niharika S. D'Souza, Satyananda Kashyap, Ken C. L. Wong, Raziuddin Mahmood, Luyao Shi, Ashutosh Jadhav, Hongzhi Wang, Joy T Wu, David Beymer
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Network-based Active Inference for Adaptive and Cost-efficient Real-World Applications: A Benchmark Study of a Valve-turning Task Against Deep Reinforcement Learning
Harneet Singh, Jeong hwan Yoon, Pedro Fontana, Katherine Hanson, Whitney Sales, Varun Kamat, Karl Friston
- 28 Sept 2024 (modified: 15 Jan 2025)
- ICLR 2025 Conference Desk Rejected Submission
- Readers: Everyone
Self-Normalized Resets for Plasticity in Continual Learning
Vivek Farias, Adam Daniel Jozefiak
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Homomorphism Counts as Structural Encodings for Graph Learning
Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger
- Published: 22 Jan 2025, Last Modified: 11 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
Cassidy Laidlaw, Shivam Singhal, Anca Dragan
- Published: 22 Jan 2025, Last Modified: 13 Mar 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Understanding Data Poisoning Attacks for RAG: Insights and Algorithms
Xun Xian, Tong Wang, Liwen You, Yanjun Qi
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
ScaLES: Scalable Latent Exploration Score for Pre-Trained Generative Networks
Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk, Randall Balestriero, Bin Yu
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Chen Yang, Chenyang Zhao, Quanquan Gu, Dongruo Zhou
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Real2Code: Reconstruct Articulated Objects via Code Generation
Zhao Mandi, Yijia Weng, Dominik Bauer, Shuran Song
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
Zheng Wang, Boxiao Jin, Yuming Chang, Zhongzhi Yu, Minjia Zhang
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Reliability-Aware Preference Learning for LLM Reward Models
Shivam Singhal, Cassidy Laidlaw, Anca Dragan
- 28 Sept 2024 (modified: 17 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
An Asynchronous Bundle Method for Distributed Learning Problems
Daniel Cederberg, Xuyang Wu, Stephen P. Boyd, Mikael Johansson
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
On Linear Representations and Pretraining Data Frequency in Language Models
Jack Merullo, Noah A. Smith, Sarah Wiegreffe, Yanai Elazar
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Differentiation Through Black-Box Quadratic Programming Solvers
Connor W. Magoon, Fengyu Yang, Noam Aigerman, Shahar Z Kovalsky
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Bayesian Tree-Dependent Factorization
Benjamin D. Shapiro, Alexis Battle
- 28 Sept 2024 (modified: 02 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Let’s Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning
Shepard Xia, Brian Lu, Jason Eisner
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models
Makram Chahine, Alex Quach, Alaa Maalouf, Tsun-Hsuan Wang, Daniela Rus
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Spatial Reasoning with MLLMs: A New Path to Graph-Structured Optimization
Jie Zhao, Kang Hao Cheong
- 28 Sept 2024 (modified: 25 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone