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
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
Compute Better Spent: Replacing Dense Layers with Structured Matrices
arXiv 2024
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
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
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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