ICLR 2024 Conference Submissions

Instilling Inductive Biases with Subnetworks
Enyan Zhang, Michael A. Lepori, Ellie Pavlick
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
Zayne Rea Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ENHANCING MULTIVARIATE TIME SERIES FORECAST- ING WITH MUTUAL INFORMATION-DRIVEN CROSS- VARIABLE AND TEMPORAL MODELING
Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Regret Rates for $\epsilon$-Greedy Strategies for Nonparametric Bandits with Delayed Rewards
Sakshi Arya, Yuhong Yang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Training Diffusion Classifiers with Denoising Assistance
Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules
Joseph Chahn Kim, David A Bloore, Karan Kapoor, Jun Feng, Ming-Hong Hao, Mengdi Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sentiment-Enhanced Stock Price Prediction: A Novel Ensemble Model Approach
Jainendra Kumar Jain, Ruchit Agrawal
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Large Language Models Can Design Game-Theoretic Objectives for Multi-Agent Planning
Makram Chahine, Tsun-Hsuan Wang, Hongxin Zhang, Wei Xiao, Daniela Rus, Chuang Gan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network
Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Harnessing Density Ratios for Online Reinforcement Learning
Philip Amortila, Dylan J Foster, Nan Jiang, Ayush Sekhari, Tengyang Xie
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi LI, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
GOODFIT: A Deep Learning Optimizer Fine Tuned for Fine Tuning
Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Carl Vondrick, Yuning Chai, Zhao Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Discretization Framework for Robust Contextual Stochastic Optimization
Rares C Cristian, Georgia Perakis
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Nature-Inspired Local Propagation
Alessandro Betti, Marco Gori
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction
Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization
Heng Zhu, Arya Mazumdar
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GlycoNMR: A Carbohydrate-Specific NMR Chemical Shift Dataset for Machine Learning Research
Zizhang Chen, Ryan Paul Badman, Bethany Lachele Foley, Robert J Woods, Pengyu Hong
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DynamicsDiffusion: Generating and Rare Event Sampling of Molecular Dynamic Trajectories Using Diffusion Models
Magnus Petersen, Gemma Roig, Roberto Covino
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RePLan: Robotic Replanning with Perception and Language Models
Marta Skreta, Zihan Zhou, Jia Lin Yuan, Kourosh Darvish, Alan Aspuru-Guzik, Animesh Garg
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Theoretical and Empirical Analysis on Reconstruction Attacks and Defenses
Sheng Liu, Zihan Wang, Qi Lei
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Predictive auxiliary objectives in deep RL mimic learning in the brain
Ching Fang, Kim Stachenfeld
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 oral
- Readers: Everyone