Jerry Yao-Chieh Hu
18 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (9) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (14)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
π€
Dynamic Duo
(17)
β‘
Prolific Year
(7)
π
Trend Setter
π
Century Club
(18)
Conferences
ICML (10)
ICLR (4)
NIPS (3)
AAAI (1)
Top co-authors
Keywords
ising model
(2)
hopfield network
(2)
quantum computing
(1)
computational complexity
(1)
neural network theory
(1)
fine-grained complexity
(1)
memory retrieval
(1)
multivariate time series
(1)
energy function
(1)
feature engineering
(1)
sparse attention
(1)
automated feature engineering
(1)
traffic prediction
(1)
memory capacity
(1)
spin-glass model
(1)
predictive feature
(1)
spin glass
(1)
modern hopfield model
(1)
combinatorial optimization
(1)
hopfield model
(1)
Papers
In-Context Learning as Conditioned Associative Memory Retrieval
ICML 2025
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
ICML 2025
In-Context Deep Learning via Transformer Models
ICML 2025
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
ICLR 2025
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
ICLR 2025
Nonparametric Modern Hopfield Models
ICML 2025
Latent Variable Estimation in Bayesian Black-Litterman Models
ICML 2025
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
ICLR 2025
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
ICML 2024
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
NIPS 2024
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
NIPS 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
ICLR 2024
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
ICML 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
ICML 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
ICML 2024
On Sparse Modern Hopfield Model
NIPS 2023
Feature Programming for Multivariate Time Series Prediction
ICML 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
AAAI 2023