ICLR 2024 Conference Submissions

Latent Space Simulator for Unveiling Molecular Free Energy Landscapes and Predicting Transition Dynamics
Simon Dobers, Hannes Stark, Xiang Fu, Dominique Beaini, Stephan Günnemann
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Causal Estimation of Exposure Shifts with Neural Networks: Evaluating the Health Benefits of Stricter Air Quality Standards in the US
Mauricio Tec, Oladimeji Mudele, Kevin Josey, Francesca Dominici
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An empirical investigation of generalization dynamics in deep ReLU networks via nonlinear mode decomposition
James Robert Golden
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient Transfer Learning from Arbitrary Pre-Trained Models
Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya, Cameron N Musco, Konstantinos Sotiropoulos, Charalampos Tsourakakis
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility
Michael Plainer, Marcella Toth, Simon Dobers, Hannes Stark, Gabriele Corso, Céline Marquet, Regina Barzilay
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Diverse Quadruped Locomotion Gaits via Reward Machines
David DeFazio, Yohei Hayamizu, Shiqi Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks
Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Auto DP-SGD: Dual Improvements of Privacy and Accuracy via Automatic Clipping Threshold and Noise Multiplier Estimation
Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan, Vijay Srinivas Tida, Xiali Hei
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A New, Physics-Based Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees
Brent A. Wallace, Jennie Si
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph neural processes and their application to molecular functions
Miguel Garcia Ortegon, Andreas Bender, Carl Edward Rasmussen, Sergio Bacallado
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Simple Hierarchical Planning with Diffusion
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Stochastic Gradient Descent for Gaussian Processes Done Right
Jihao Andreas Lin, Shreyas Padhy, Javier Antoran, Austin Tripp, Alexander Terenin, Csaba Szepesvari, José Miguel Hernández-Lobato, David Janz
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz, Aaditya K Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen Marcus McAleer
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Jingyun Xiao, Ran Liu, Eva L Dyer
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Improved order analysis and design of exponential integrator for diffusion models sampling
Qinsheng Zhang, Jiaming Song, Yongxin Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Setting the Record Straight on Transformer Oversmoothing
Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
KBFormer: A Transformer-based Diffusion Model of Structured Entities with Heterogeneous Properties
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bridging Sequence and Structure: Latent Diffusion for Conditional Protein Generation
Matt McPartlon, Céline Marquet, Tomas Geffner, Daniel Kovtun, Alexander Goncearenco, Zachary Carpenter, Luca Naef, Michael M. Bronstein, Jinbo Xu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Why is SAM Robust to Label Noise?
Christina Baek, J Zico Kolter, Aditi Raghunathan
- Published: 16 Jan 2024, Last Modified: 05 May 2024
- ICLR 2024 poster
- Readers: Everyone
Gradient descent for matrix factorization: Understanding large initialization
Hengchao Chen, Xin Chen, Mohamad Elmasri, Qiang Sun
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Predicting the Performance of Foundation Models via Agreement-on-the-line
Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, J Zico Kolter, Aditi Raghunathan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
Zijian Liu, Zhengyuan Zhou
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Learning transferrable and interpretable representation for brain network
Yifan Yang, Yutong Mao, Xiao Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone