ICLR 2024 Conference Submissions

OBSERVATIONAL DATA ONLY: Inferring Protein Signaling Pathways with Local Information- Rewarded Generative Flow Networks
Haoming Gong, Chengyuan Deng, Yongfeng Zhang, Alexandre Morozov
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph Neural Tangent Kernel and Graph Neural Network Gaussian Processes for Node Classification/ Regression
Yunus Cobanoglu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
- Published: 16 Jan 2024, Last Modified: 26 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Emergence of Surprise and Predictive Signals from Local Contrastive Learning
Andrew Lawrence Smith, Linxing Preston Jiang, Stefano Recanatesi, Matthew Storm Bull
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Xiaoqi Wang, Han Wei Shen
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On the memorisation of image classifiers
Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Optimization without retraction on the random generalized Stiefel manifold for canonical correlation analysis
Simon Vary, Pierre Ablin, Bin Gao, Pierre-Antoine Absil
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Two-Branch Neural Network Architecture for Model Protection within Trusted Execution Environments
Ziyu Liu, Yukui Luo, Xiaolin Xu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Long Way To Go: Investigating Length Correlations in RLHF
Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
HashOrder: Accelerating Graph Processing Through Hashing-based Reordering
Tianyi Zhang, Aditya Desai, Gaurav Gupta, Anshumali Shrivastava
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Guiding Language Models Reasoning with Planning Tokens
Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PrivilegedDreamer: Explicit Imagination of Privileged Information for Adaptation in Uncertain Environments
Morgan Byrd, Jackson Crandell, Jessica Inman, Robert Wright, Sehoon Ha
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng LYU, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A Novel Autoencoder Based Approach for Counterfactual Estimation Using Sparsity Constraints
Tomas Garriga, Gerard Sanz, Eduard Serrahima de Cambra, Axel Brando
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MemStranding: Adversarial attacks on temporal graph neural networks
Yue Dai, Liang Liu, Xulong Tang, Youtao Zhang, Jun Yang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Splicing Up Your Predictions with RNA Contrastive Learning
Philip Fradkin, Ruian Shi, BO WANG, Brendan Frey, Leo J Lee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unnormalized Density Estimation with Root Sobolev Norm Regularization
Mark Kozdoba, Binyamin Perets, Shie Mannor
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Network Alignment with Transferable Graph Autoencoders
Jiashu He, Charilaos Kanatsoulis, Alejandro Ribeiro
- 23 Sept 2023 (modified: 16 Mar 2025)
- Submitted to ICLR 2024
- Readers: Everyone
Class-Conditional Conformal Prediction for Imbalanced Data via Top-$k$ Classes
Yuanjie Shi, SUBHANKAR GHOSH, Taha Belkhouja, Jana Doppa, Yan Yan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Competitive-Collaborative GAN with Performance Guarantee
CHENHAN XIAO, Yang Weng
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone