Scientific Frontiers

Publications

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

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All 317 Beyond Scaling Laws 155 Physical AI & Robotics 104 High-dimensional Generative Models 58

All Publications

317 publications

# Breakthrough in Neural Scaling Law

Toward Complex-Valued Neural Networks for Waveform Generation

Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee · ICLR · 2026

# Breakthrough in Neural Scaling Law

Manipulating Feature Visualizations with Gradient Slingshots

Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Sebastian Lapuschkin, Kirill Bykov · Neural Information Processing Systems · 2025

# Breakthrough in Neural Scaling Law

Making Models Unmergeable via Scaling-Sensitive Loss Landscape

Minwoo Jang, Hoyoung Kim, Jabin Koo, Jungseul Ok · ICML · 2026

# Breakthrough in Neural Scaling Law

Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation

Joonhyung Park, Hyeongwon Jang, Joowon Kim, Eunho Yang · CVPR · 2026

# Breakthrough in Neural Scaling Law

Agent-X: Full Pipeline Acceleration of On-device AI Agents

Jinha Chung, Byeongjun Shin, Jiin Kim, Minsoo Rhu · MobiSys · 2026

# High-dimensional Generative Foundation Models

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies

Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye · ICLR · 2026

# High-dimensional Generative Foundation Models

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

Jeongsol Kim, Yeobin Hong, Jonghyun Park, Jong Chul Ye · ICLR · 2026

# High-dimensional Generative Foundation Models

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments

Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee, Jongeun Choi · ICLR · 2026

# High-dimensional Generative Foundation Models

TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions

Hwijin Kim, Jaeho Kim, Changhee Lee · ICLR · 2026

# High-dimensional Generative Foundation Models

Optical Diffraction-based Convolution for Semiconductor Lithography

Young-Han Son, Dong-Hee Shin, Deok-Joong Lee, Hyun Jung Lee, Hyeonyeong Nam, Tae-Eui Kam · CVPR · 2026