ICLR 2024 Conference Submissions

Machine learning pipelines synthesis with large language models
Ekaterina Trofimova, Emil Sataev, Andrey E Ustyuzhanin
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa, Rebekka Burkholz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Deep Viticultural Representations: Joint Region and Grape Variety Embeddings
Joel Zacharias Harms, Jan Franklin Adamowski, Viacheslav Adamchuk, Nathaniel K Newlands, Simone Diego Castellarin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Task structure and nonlinearity jointly determine learned representational geometry
Matteo Alleman, Jack Lindsey, Stefano Fusi
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift
Lin Li, Yifei Wang, Chawin Sitawarin, David Wagner, Michael W. Spratling
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Distributional Reward Critic Architecture for Reinforcement Learning Under Confusion Matrix Reward Perturbations
Xi Chen, Zhihui Zhu, Andrew Perrault
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Llemma: An Open Language Model for Mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen Marcus McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
Aaron J Havens, Alexandre Araujo, Huan Zhang, Bin Hu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Travelling Salesman Problem Goes Sparse With Graph Neural Networks
Attila Lischka, Jiaming Wu, Rafael Basso, Morteza Haghir Chehreghani, Balazs Kulcsar
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Imitation Learning Using Generalized Sliced Wasserstein Distances
Ivan Ovinnikov, Joachim M. Buhmann
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
URDFormer: Constructing interactive Realistic Scenes from Real Images via Simulation and Generative Modeling
Qiuyu Chen, Marius Memmel, Alex Fang, Aaron Walsman, Dieter Fox, Abhishek Gupta
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou, Robert Bamler, Charley M Wu, Álvaro Tejero-Cantero
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Scaling Safe Learning-based Control to Long-Horizon Temporal Tasks
Navid Hashemi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy V. Deshmukh
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
Changwoo Lee, Hun-Seok Kim
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations
Mozes Jacobs, Bingni W Brunton, Steven Brunton, J. Nathan Kutz, Ryan V. Raut
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DEXR: A Unified Approach Towards Environment Agnostic Exploration
Yiran Wang, Yunfan Li, Sanae Amani, Lin Yang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
Huan He, William hao, Yuanzhe Xi, Yong Chen, Bradley Malin, Joyce Ho
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
UnifiedGT: Exploring the Effective Ingredients of Transformers in Large Graphs
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Robustness Evaluation Using Local Substitute Networks
Aleksei Kuvshinov, Cristian Pavel, Stephan Günnemann
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Simplifying GNN Performance with Low Rank Kernel Models
Luciano Vinas, Arash A. Amini
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone