Andrew Gordon Wilson
- Papers
- 16
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Authored papers
16A Diffusion Model to Shrink Proteins While Maintaining Their Function
arXiv 2025
Chronos: Learning the Language of Time Series
arXiv 2024
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
arXiv 2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
arXiv 2024
Large Language Models Must Be Taught to Know What They Don't Know
arXiv 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
arXiv 2024
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
arXiv 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
arXiv 2024
Large Language Models Are Zero-Shot Time Series Forecasters
large-language-models-are-zero-shot-time
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NeurIPS 2023 11
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
arXiv 2023
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
arXiv 2023
Non-Vacuous Generalization Bounds for Large Language Models
arXiv 2023
What do Vision Transformers Learn? A Visual Exploration
arXiv 2022
Does Knowledge Distillation Really Work?
NeurIPS 2021 12
Averaging Weights Leads to Wider Optima and Better Generalization
arXiv 2018
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