ICLR 2024 Conference Submissions

Towards Transparent Time Series Forecasting
Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors
Yukang Lin, Haonan Han, Chaoqun Gong, Zunnan Xu, Yachao Zhang, Xiu Li
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Denoising Diffusion Variational Inference
Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Explaining black box text modules in natural language with language models
Chandan Singh, Aliyah R. Hsu, Richard Antonello, Shailee Jain, Alexander Huth, Bin Yu, Jianfeng Gao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Convexifying Transformers: Improving optimization and understanding of transformer networks
Tolga Ergen, Behnam Neyshabur, Harsh Mehta
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Causal-based Analysis on Credibility of Feedforward Neural Network
Pengzhao Quan, Zhengxi Li, Hongsheng Ma, Yunlin Lei, Hanzhu Jia, Lanyu Gao, Xu Yang
- 23 Sept 2023 (modified: 09 Jul 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MPformer: Advancing Graph Modeling Through Heterophily Relationship-Based Position Encoding
Dong Li, Biqing Qi, Junqi Gao, Huan Xiong, Bin Gu, Xinquan Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Fast and Provable Algorithm for Sparse Phase Retrieval
Jian-Feng CAI, Yu Long, Ruixue WEN, Jiaxi Ying
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
WaveFluid: A New Adversarial Approach for Efficient High-Fidelity Speech Synthesis
Tianze Luo, Situ Wang, Wenbo Duan, JiaRui Wang, Yang An
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou, Xiangchao Wang, Jie Yang
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Bit Cipher — A Simple yet Powerful Word Representation System that Integrates Efficiently with Language-Models
Haoran Zhao, Jake Ryland Williams
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Representation Disentanglement via Regularization by Causal Identification
Juan Castorena
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
HART: Efficient Adaptation via Regularized Autoregressive Parameter Generation
Chen Liang, Nikos Karampatziakis, Tuo Zhao, Weizhu Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Policy Gradient Method for Confounded POMDPs
Mao Hong, Zhengling Qi, Yanxun Xu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. ‘Ending the HIV Epidemic’ initiative
Dinesh Sharma, Ankit Shah, Chaitra Gopalappa
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
Peizhong Ju, Arnob Ghosh, Ness Shroff
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Self-supervision Meets Bootstrap Estimation: New Paradigm for Unsupervised Reconstruction with Uncertainty Quantification
Zhengliang Wu, Longbing Cao, Xuesong Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to ignore: Single Source Domain Generalization via Oracle Regularization
Dong Kyu Cho, Sanghack Lee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
Junlin He, Jinxiao Du, Wei Ma
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Xinglin Wang, Bin Sun, Heda Wang, Kan Li
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Toward a Mechanistic Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
Mikail Khona, Maya Okawa, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Information-Theoretic World Model learning for Denoised Predictions
Vedant Dave, Elmar Rueckert
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quantifying Classification Performance through Combinatorial Geometry and Localized Data Analysis
Christopher Lee, Mudassir Shabbir, Waseem Abbas
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone