Jaehoon Lee

University of Southern California — United States

Computer Science · Physical Sciences

15h-index2.3kcitations55works42.12yr avg
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Research Topics

Advanced Neural Network Applications(12), Gaussian Processes and Bayesian Inference(12), Adversarial Robustness in Machine Learning(10), Machine Learning and Data Classification(9), Domain Adaptation and Few-Shot Learning(5)

Publications53 total

Patch clamp recordings of action potentials from pyramidal neuron in hippocampus CA1 under focused ultrasound neurostimulation with MEMS self-focusing acoustic transducer
Journal of Neural Engineering·2025Open Access
Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System
Energies·2025· 1 citedOpen Access
Analysis of the Applicability of Blind Beamforming Techniques using Deep Neural Network to Defense Systems
Journal of the Korea Institute of Military Science and Technology·2025Open Access
HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images
arXiv (Cornell University)·2024Open Access
Partial-Multivariate Model for Forecasting
arXiv (Cornell University)·2024Open Access
Scaling Exponents Across Parameterizations and Optimizers
arXiv (Cornell University)·2024· 1 citedOpen Access
Explaining neural scaling laws
Proceedings of the National Academy of Sciences·2024· 106 citedOpen Access
Training LLMs over Neurally Compressed Text
arXiv (Cornell University)·2024· 1 citedOpen Access
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
arXiv (Cornell University)·2023· 6 citedOpen Access
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
arXiv (Cornell University)·2023Open Access
Small-scale proxies for large-scale Transformer training instabilities
arXiv (Cornell University)·2023· 4 citedOpen Access
Replacing softmax with ReLU in Vision Transformers
arXiv (Cornell University)·2023· 8 citedOpen Access
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models
arXiv (Cornell University)·2023Open Access
A Study on the Priority of Sustainability Areas and Indicators of Domestic Smart Ports
Journal of Korea Port Economic Association·2022
The Effect of Servitization of Business Groups on Management Performance
Journal of Society of Korea Industrial and Systems Engineering·2022
Fast Neural Kernel Embeddings for General Activations
arXiv (Cornell University)·2022· 4 citedOpen Access
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis
arXiv (Cornell University)·2022· 10 citedOpen Access
3D Visualization of Objects in Heavy Scattering Media by Using Wavelet Peplography
IEEE Access·2022· 17 citedOpen Access
Enhanced security computational double random phase encryption by using additional random function
2021 International Conference on Information and Communication Technology Convergence (ICTC)·2021· 1 cited
Dataset Distillation with Infinitely Wide Convolutional Networks
arXiv (Cornell University)·2021· 22 citedOpen Access
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Frequent Co-authors

Roman Novak(17), Jascha Sohl‐Dickstein(17), Lechao Xiao(15), Jeffrey Pennington(14), Samuel S. Schoenholz(8), Yasaman Bahri(7), Ben Adlam(7), Jiri Hron(5), Alex Alemi(4), İzzeddin Gür(4), Ethan Dyer(3), Myungjin Cho(3), Min‐Chul Lee(3), Mitchell Wortsman(3), Simon Kornblith(3), Kelvin Xu(3), Jasper Snoek(3), Noah Constant(3), Peter J. Liu(3), Yutaka Arimitsu(3)