Scientific Frontiers

Publications

The complete index of NAIRL’s published research across its three scientific frontiers.

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All 308 Beyond Scaling Laws 151 Physical AI & Robotics 101 High-dimensional Generative Models 56

All Publications

308 publications

# Breakthrough in Neural Scaling Law

Neural Functions for Learning Periodic Signal

Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park · ICLR · 2025

# Breakthrough in Neural Scaling Law

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation

Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park · WSDM · 2025

# Breakthrough in Neural Scaling Law

Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel’s Gaudi NPU for AI Model Serving

Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu · ISCA · 2025

# Breakthrough in Neural Scaling Law

Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices

Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, Minsoo Rhu · ICCAD · 2025

# Breakthrough in Neural Scaling Law

The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets

Yujun Kim, Chaewon Moon, Chulhee Yun · NeurIPS · 2025

# Breakthrough in Neural Scaling Law

Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty

Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun · ICML · 2025

# Breakthrough in Neural Scaling Law

Self-Training Elicits Concise Reasoning in Large Language Models

Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun · ACL · 2025

# Breakthrough in Neural Scaling Law

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron Courville, Se-Young Yun · NeurIPS · 2025

# Breakthrough in Neural Scaling Law

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun · ICML · 2025

# Breakthrough in Neural Scaling Law

Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization

Yeongho Kim, Yuyeong Kim, Geon Lee, Kijung Shin · WWW · 2025