Jerry Yao-Chieh Hu
18 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Papers
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
ICLR 2025
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
ICML 2025
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
ICLR 2025
In-Context Deep Learning via Transformer Models
ICML 2025
In-Context Learning as Conditioned Associative Memory Retrieval
ICML 2025
Latent Variable Estimation in Bayesian Black-Litterman Models
ICML 2025
Nonparametric Modern Hopfield Models
ICML 2025
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
ICLR 2025
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
ICML 2024
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
ICML 2024
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
NeurIPS 2024
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
ICML 2024
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
NeurIPS 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
ICLR 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
ICML 2024
Feature Programming for Multivariate Time Series Prediction
ICML 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
AAAI 2023
On Sparse Modern Hopfield Model
NeurIPS 2023