ICLR 2024 Conference Submissions

Relational Constraints On Neural Networks Reproduce Human Biases towards Abstract Geometric Regularity
Declan Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan D. Cohen, Thomas L. Griffiths
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Compositional Search of Stable Crystalline Structures in Multi-Component Alloys Using Generative Diffusion Models
Grzegorz Kaszuba, Amirhossein Naghdi Dorabati, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Learning High-Order Relationships of Brain Regions
Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Zhitao Ying
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stabilized E(n)-Equivariant Graph Neural Networks-assisted Generative Models
Justin Baker, Yuhao Huang, Shih-Hsin Wang, Massimiliano Lupo Pasini, Andrea L. Bertozzi, Bao Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Plan-based Prompting Improves Literature Review Generation
Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Rankers for Code Generation via Inter-Cluster Modeling
Hung Quoc To, Minh Huynh Nguyen, Nghi D. Q. Bui
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Linear programming using diagonal linear networks
Haoyue Wang, Promit Ghosal, Rahul Mazumder
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Value Propagation with the Compositional Optimality Equation
Piotr Piękos, Aditya Ramesh, Francesco Faccio, Jürgen Schmidhuber
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TROJFAIR: TROJAN FAIRNESS ATTACKS
Mengxin Zheng, Jiaqi Xue, yi sheng, Lei Yang, Qian Lou, Lei Jiang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Inexact Conditional Gradient Method for Constrained Bilevel Optimization
Nazanin Abolfazli, Ruichen Jiang, Aryan Mokhtari, Erfan Yazdandoost Hamedani
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth McMillan, Risto Miikkulainen
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao, John Dang, Aditya Grover
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Unsupervised Federated Graph Matching with Graphlet Feature Extraction and Separate Trust Region
Zijie Zhang, Yang Zhou, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
Xinwei Zhang, Mingyi Hong, Jie Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Strategic Recommendations for Improved Outcomes in Congestion Games
Cesare Carissimo, Marcin Korecki, Damian Dailisan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Complexity of Formal Explainability for Sequential Models
Anthony Widjaja Lin, Micha Schrader, Marvin Künnemann, Pravriti Jaipuriyar
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RPNet: Robust Non-Interactive Private Inference against Malicious Clients with Adversarial Attacks
Jiaqi Xue, Lei Xu, Lin Chen, Weidong Shi, Kaidi Xu, Yan Solihin, Qian Lou
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Analyzing Neural Network Based Generative Diffusion Models via Convexification
Fangzhao Zhang, Mert Pilanci
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Constraining Non-Negative Matrix Factorization to Improve Signature Learning
Aldo Galeano, Suzana Santos, Ruben Jimenez, Alberto Paccanaro
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
Tiwalayo Eisape, Michael Henry Tessler, Fei Sha, Ishita Dasgupta, Sjoerd van Steenkiste, Tal Linzen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Explore, Establish, Exploit: Red Teaming Language Models from Scratch
Stephen Casper, Jason Lin, Joe Kwon, Gatlen Culp, Dylan Hadfield-Menell
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Structured Sparse Neural Networks Using Group Envelope Regularization
Yehonathan Refael, Iftach Arbel, Wasim Huleihel
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone