Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation

ICLR 2025 Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation  Byungjai Kim, Chanho Ahn, Wissam J. Baddar, Kikyung Kim, HUIJIN LEE, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang  Test-time adaptation updates pretrained models on the fly to handle...

LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models

ICLR 2025 Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models (ICLRW-SCOPE) (Oral) LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models Sihwan Park, Doohyuk Jang, Sung-Yub Kim, Souvik Kundu, Eunho Yang&...

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

ICLR 2025 Workshop on XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge (ICLRW-XAI4Science) TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Hyeongwon Jang, Changhun Kim, Eunho Yang  Recent explainable artif...

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models

ICLR 2025 Token-Supervised Value Modelsfor Enhancing Mathematical Problem-Solving Capabilities of Large Language Models  Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo  With the rapid advancement of test-time compute sea...

ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring

ICLR 2025 ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang  Predicting the ground-state 3D molecular conformations from 2D molecular graphs is critical in computational chemistry due t...

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

ICLR 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang  Auto-Regressive (AR) models have recently gained prominence in image generat...

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning

ICLR 2025 Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang  Complex logical reasoning tasks require a long sequence of reasoning, which a large language model (...

TEDDY: Trimming Edges with Degree-based Graph Discrimination strategY

ICLR 2024 TEDDY: Trimming Edges with Degree-based Graph Discrimination strategY  Hyunjin Seo*, Jihun Yun* and Eunho Yang (*: equal contribution)   Since the pioneering work on the lottery ticket hypothesis for graph neural networks (GNNs) was proposed in Chen et al...

Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication

ICLR 2024 Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication   Geondo Park, June Yong Yang, Joowon kim, Hyeongwon Jang and Eunho Yang   Tabular data in the wild are frequently afflicted with class-imbalance, biasing mac...

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning

ICLR 2023 Self-Supervised Set Representation Learning for Unsupervised Meta-Learning  Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang  Unsupervised meta-learning (UML) essentially shares the spirit of self-supervised learning (SS...