ICLR

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms

Bowen Jing, Tommi Jaakkola, Bonnie Berger

Comments ICLR 2024

A global AI community requires language-diverse publishing

Haley Lepp, Parth Sarin

Comments Translations by Tianyu M. Fang (Mandarin Chinese), Michael Hardy (Guarani), Vandana Sarin and Vivek Sarin (Hindi), Roshna Omer Abdulrahman (Soranî Kurdish), Gabriel Poesia (Portuguese), and Matías Grinberg (Spanish). In the proceedings of the Global AI Cultures Workshop at the Twelfth International Conference on Learning Representations (ICLR) 2024, Vienna, Austria, May 7-11, 2024

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models

Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang

Comments Accepted at ICLR 2024 (Spotlight)

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings

Sagar Srinivas Sakhinana, Geethan Sannidhi, Chidaksh Ravuru, Venkataramana Runkana

Comments Published at the ICLR 2024 Workshop on Practical ML for Low Resource Settings(PML4LRS)

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

Comments ICLR 2024 Spotlight; https://github.com/OpenLemur/Lemur

Model Merging by Uncertainty-Based Gradient Matching

Nico Daheim, Thomas Möllenhoff, Edoardo Maria Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan

Comments ICLR 2024; Code: https://github.com/UKPLab/iclr2024-model-merging

Multi-Knowledge Fusion Network for Time Series Representation Learning

Sagar Srinivas Sakhinana, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana

Comments Paper accepted at ML4IoT Workshop, International Conference on Learning Representations(ICLR) 2023

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes

Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Sreeja Gangasani, Venkataramana Runkana

Comments 21 pages, Accepted in PML4DC Workshop at International Conference on Learning Representations (ICLR) 2023

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration

Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong

Comments COLM 2024 / ICLR 2024 Workshop on LLM Agents

Analysis of learning a flow-based generative model from limited sample complexity

Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová

Journal ref ICLR 2024

Entropy Coding of Unordered Data Structures

Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend

Comments Published at ICLR 2024

Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms

Yi Li, Honghao Lin, David P. Woodruff

Comments Published as a conference paper at ICLR 2024

Transformers Can Do Bayesian Inference

Samuel Müller, Noah Hollmann, Sebastian Pineda Arango, Josif Grabocka, Frank Hutter

Comments Published at ICLR 2022

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

Lifan Zhao, Yanyan Shen

Comments Accepted to ICLR 2024. Code is at https://github.com/SJTU-DMTai/LIFT

Journal ref The Twelfth International Conference on Learning Representations, 2024

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

Ilyass Hammouamri, Ismail Khalfaoui-Hassani, Timothée Masquelier

Journal ref ICLR 2024

Multi-objective Optimization by Learning Space Partitions

Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian

Journal ref International Conference on Learning Representations 2022

SafeDreamer: Safe Reinforcement Learning with World Models

Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang

Comments ICLR 2024

HIVE: HIerarchical Volume Encoding for Neural Implicit Surface Reconstruction

Xiaodong Gu, Weihao Yuan, Heng Li, Zilong Dong, Ping Tan

Comments Submitted to ICLR 2023

Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video

Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang

Comments Published as a conference paper at ICLR 2024

Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space

Sayed Sajad Hashemi, Michael Guerzhoy, Noah H. Paulson

Journal ref ICLR Tiny Papers 2024

Open Sesame! Universal Black Box Jailbreaking of Large Language Models

Raz Lapid, Ron Langberg, Moshe Sipper

Comments Accepted at SeT-LLM @ ICLR 2024

Journal ref ICLR 2024 Workshop on Secure and Trustworthy Large Language Models

Consistency-guided Prompt Learning for Vision-Language Models

Shuvendu Roy, Ali Etemad

Comments Published as a conference paper at ICLR 2024

A Primal-Dual Approach to Solving Variational Inequalities with General Constraints

Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael I. Jordan

Comments Source code at https://github.com/Chavdarova/I-ACVI

Journal ref ICLR 2024

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

Comments 9 pages; ICLR 2024

Detecting, Explaining, and Mitigating Memorization in Diffusion Models

Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu

Comments 16 pages, 9 figures, accepted as oral presentation in ICLR 2024

CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models

Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Evuru, S. Ramaneswaran, S. Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha

Comments ICLR 2024. Project Page: https://sreyan88.github.io/compa_iclr/

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer

Comments 29 pages; 7 figures. Published as a conference paper at ICLR 2024 (spotlight). Code, models, and data available at https://github.com/kernelmachine/silo-lm

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images

Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman

Comments Published at ICLR 2024

A Simple and Scalable Representation for Graph Generation

Yunhui Jang, Seul Lee, Sungsoo Ahn

Comments International Conference on Learning Representations (ICLR) 2024

Forecasting Tropical Cyclones with Cascaded Diffusion Models

Pritthijit Nath, Pancham Shukla, Shuai Wang, César Quilodrán-Casas

Comments Accepted for poster presentation at the ICLR 2024 workshop on Tackling Climate Change with Machine Learning. 7 pages, 3 figures