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Career
·
PhD Candidate, Computer Science
,
Stanford University
2020–
·
Masters by Research Student, Computer Science (OATML Group)
,
University of Oxford
2020–2022
·
Undergraduate Student, Computer Science and Economics
,
Harvard University
2016–2020
Publications
(18)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Neural Information Processing Systems · 2021
160
cited
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
NeurIPS Datasets and Benchmarks · 2021
149
cited
Plex: Towards Reliability using Pretrained Large Model Extensions
arXiv.org · 2022
141
cited
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
arXiv.org · 2021
107
cited
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
NeurIPS Datasets and Benchmarks · 2022
66
cited
MemFlow: Memory-Aware Distributed Deep Learning
SIGMOD Conference · 2020
10
cited
Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation
Conference on Empirical Methods in Natural Language Processing · 2025
5
cited
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification
arXiv.org · 2023
4
cited
Towards Safe Genome Editing and Rapid Disease Detection: Deep Bayesian Active Learning for Model-Driven CRISPR Guide Design
2020
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Neil Band | Researcher Profile | Sotabase | Sotabase