ICLR 2025 Conference Submissions

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Addressing domain shift with diffusion-based adaptation for real image dehazing
Zixuan Chen, Zewei He, Xingyu Liu, JinLei Li, Zhe-Ming Lu
- 27 Sept 2024 (modified: 08 Mar 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Scalable Mechanistic Neural Networks
Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello
- Published: 22 Jan 2025, Last Modified: 01 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis
Yuchen Mao, Hongwei Bran Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Chengjia Wang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Runkang Yang, Peng Sun, Xinyi Shang, Yi Tang, Tao Lin
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Linear Partial Gromov-Wasserstein Embedding
Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Whale-X: Learning Scalable Embodied World Models with Enhanced Generalizability
Zhilong Zhang, Ruifeng Chen, Junyin Ye, Yihao Sun, Pengyuan Wang, Jing-Cheng Pang, Kaiyuan Li, Tian-Shuo Liu, Haoxin Lin, Yang Yu
- 27 Sept 2024 (modified: 23 Oct 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Distributional Reinforcement Learning Based On Historical Information For Option Hedging
Qiao Pan, Long Zhu, zhaoju Wang
- 27 Sept 2024 (modified: 10 Nov 2024)
- ICLR 2025 Conference Desk Rejected Submission
- Readers: Everyone
Learning to Rank for AutoML: enhancing pipeline selection with ranking information
Hernan Ceferino Vazquez, Pucci Romero Tobias, Verónica Bogado, Jorge Sánchez
- 27 Sept 2024 (modified: 04 Jun 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
UFGTime: Reforming the Pure Graph Paradigm for Multivariate Time Series Forecasting in the Frequency Domain
Ruikun Li, Dai Shi, Ye Xiao, Junbin Gao
- 27 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Towards Adaptive Time Series Foundation Models Against Distribution Shift
Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
- 27 Sept 2024 (modified: 22 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Unlocking Structured Thinking in Language Models with Cognitive Prompting
Oliver Kramer, Jill Baumann
- 27 Sept 2024 (modified: 16 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
FE-GNN: Feature Enhanced Graph Neural Networks for Account Classification in Ethereum
Zhaowei Liu, HaitaoYang, Shenqiang Wang, Yihao Jiang, Wang Kerry, Dong Yang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
Xin Mao, Huimin Xu, Feng-Lin Li, Ziqi Jin, WANG CHEN, Wei Zhang, Anh Tuan Luu
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K.H. Franke, Frank Hutter, Massimiliano Pontil
- Published: 22 Jan 2025, Last Modified: 14 Mar 2025
- ICLR 2025 Oral
- Readers: Everyone
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
A Gradient Descent Optimizer with auto-controlled large Learning Rates, dynamic Batch Sizes and without Momentum
Alexander Kleinsorge, Alexander Fauck, Davide Paglieri, Stefan Kupper, Nina Singiri
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion
Jiagen Li, Rui Yu, Huihao Huang, Songhao Zhu, Siyu Li, Huaicheng Yan
- 27 Sept 2024 (modified: 20 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
Debbie Lim, Yixian Qiu, Patrick Rebentrost, Qisheng Wang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Deep Clustering with Uniform Quasi-low-rank Hypersphere Embedding
Wenyuan Qiao, Hao Li, Maoguo Gong, A. K. Qin, Yu Zhou, Yue Wu
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
E(3)-equivariant models cannot learn chirality: Field-based molecular generation
Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki
- Published: 22 Jan 2025, Last Modified: 16 May 2025
- ICLR 2025 Poster
- Readers: Everyone
On Inherent 3D Reasoning of VLMs in Indoor Scene Layout Design
Amlan Kar, David Acuna, Sanja Fidler
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Differentially Private Deep Model-Based Reinforcement Learning
Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
On Limitation of Transformer for Learning HMMs
Jiachen Hu, Qinghua Liu, Chi Jin
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone