Andrew Gordon Wilson
~Andrew_Gordon_Wilson1
26
论文总数
13.0
年均投稿
平均评分
接收情况14/26
会议分布
ICLR
16
NeurIPS
6
ICML
4
发表论文 (26 篇)
202516 篇
4
Improving Discrete Diffusion with Schedule-Conditioning
ICLR 2025Rejected
4
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra
ICML 2025Poster
3
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
NeurIPS 2025Poster
4
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
ICML 2025Oral
4
Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation is Wasteful
NeurIPS 2025Poster
4
LLMs Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
ICLR 2025Rejected
5
Molecular Active Learning: How can LLMs Help?
ICLR 2025withdrawn
5
How to Scale Second-Order Optimization
NeurIPS 2025Poster
4
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
ICML 2025Poster
5
Just How Flexible are Neural Networks in Practice?
ICLR 2025Rejected
3
The Promises and Pitfalls of Language Models for Structured Numerical Data
ICLR 2025Rejected
4
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICLR 2025Rejected
4
Pathologies of Out-of-Distribution Detection
ICLR 2025Rejected
5
Compute-Optimal LLMs Provably Generalize Better with Scale
ICLR 2025Poster
4
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025Poster
4
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
ICLR 2025Spotlight
202410 篇
3
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
ICLR 2024Poster
4
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
ICLR 2024Rejected
3
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
ICLR 2024Poster
4
Efficient Transfer Learning from Arbitrary Pre-Trained Models
ICLR 2024Rejected
3
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
NeurIPS 2024Spotlight
3
Just How Flexible are Neural Networks in Practice?
ICLR 2024Rejected
5
Non-Vacuous Generalization Bounds for Large Language Models
ICLR 2024Rejected
4
What do vision transformers learn? A visual exploration
ICLR 2024Rejected
3
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NeurIPS 2024Poster
5
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024Poster