ICLR 2024 Conference Submissions

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Bowen Jing, Tommi S. Jaakkola, Bonnie Berger
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Analytic DAG Constraints for Differentiable DAG Learning
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Ričards Marcinkevičs, Sonia Laguna, Moritz Vandenhirtz, Julia E Vogt
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Alignment Problem from a Deep Learning Perspective
Richard Ngo, Lawrence Chan, Sören Mindermann
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Unified Anomaly Detection via Multi-Scale Contrasted Memory
Loïc Jézéquel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
Anni Zou, Zhuosheng Zhang, hai zhao, Xiangru Tang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
$MC^2$: Multimodal Concept-based Continual learning
Susmit Agrawal, Deepika Vemuri, Vineeth N. Balasubramanian
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Enhancing Machine Learning System Reliability in Healthcare through Uncertainty Estimation and Multi-Modal Learning
Saeed Iqbal Khattak, Adnan Nabeel Qureshi, khalid javeed, Khursheed Aurangzeb
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na, Minje Park, Yunwon Tae, Sunghoon Joo
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Mihaela C Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Yanbo Wang, Jian Liang, Ran He
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Expected Probabilistic Hierarchies
Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Lost in Transformation: Current roadblocks for Transformers in 3D medical image segmentation
Saikat Roy, Tassilo Wald, Michael Baumgartner, Constantin Ulrich, Gregor Koehler, David Zimmerer, Fabian Isensee, Klaus Maier-Hein
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GPT as Visual Explainer
Xingyi Yang, Xinchao Wang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
Guikun Xu, Yongquan Jiang, PengChuan Lei, Yan Yang, Jim Chen
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning
Lisheng Wu, Ke Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Slingshot Perturbation to Learning in Monotone Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LDINet: Latent Decomposition and Interpolation for Single Image FMO Deblatting
Haodong Fan, Dingyi Zhang, Yunlong Yu, Yingming Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SOLO: Surrogate Online Learning at Once for Spiking Neural Networks
Sung Min Lee, Minsik Yoon, Hyunin Moon, Sangbum Kim
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Deep Neural Networks as Dynamical Systems: Insights into Training and Fine-tuning
Shufan Shen, Zhengqi Pei, Shuhui Wang, Qingming Huang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Non-Redundant Graph Neural Networks with Improved Expressiveness
Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried N. Gansterer, Nils Morten Kriege
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Structured Matrix Method for Nonequispaced Neural Operators
Levi E. Lingsch, Mike Yan Michelis, Emmanuel de Bezenac, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-modal Latent Diffusion
Mustapha BOUNOUA, Giulio Franzese, Pietro Michiardi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone