Sotabase

Career

· Joan Eliasoph, M.D. Assistant Professor, Cornell Tech2020–
· Co-Founder & Chief Technologist, Afresh Technologies2017–
· Post-Doctoral Researcher, Stanford University2017–2018
· Researcher, Moleculo Inc.2012–2013
· Doctor of Philosophy (Ph.D.) in Computer Science, Stanford University2011–2017
· Researcher, Bell Laboratories
· Researcher, Illumina Inc.
· Bachelor of Science in Mathematics and Computer Science, McGill University

Publications (133)

A guide to deep learning in healthcare
Nature Medicine · 2019
3,575
cited
Accurate Uncertainties for Deep Learning Using Calibrated Regression
International Conference on Machine Learning · 2018
748
cited
Algorithms for multi-armed bandit problems
arXiv.org · 2014
390
cited
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Neural Information Processing Systems · 2023
321
cited
QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
International Conference on Machine Learning · 2024
234
cited
Whole-genome haplotyping using long reads and statistical methods
Nature Biotechnology · 2014
173
cited
Audio Super Resolution using Neural Networks
International Conference on Learning Representations · 2017
144
cited
Calibrated Structured Prediction
Neural Information Processing Systems · 2015
129
cited
Adversarial Examples for Natural Language Classification Problems
2018
112
cited
Mercury: Ultra-Fast Language Models Based on Diffusion
arXiv.org · 2025
100
cited
Tensor Factorization via Matrix Factorization
International Conference on Artificial Intelligence and Statistics · 2015
88
cited
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations
Neural Information Processing Systems · 2019
84
cited
Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems
International Conference on Human Factors in Computing Systems · 2023
75
cited
Synthetic long read sequencing reveals the composition and intraspecies diversity of the human microbiome
Nature Biotechnology · 2015
66
cited
Calibrated Model-Based Deep Reinforcement Learning
International Conference on Machine Learning · 2019
60
cited
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
International Conference on Machine Learning · 2023
58
cited
Probabilistic single-individual haplotyping
Bioinform. · 2014
55
cited
Inverse Game Theory: Learning Utilities in Succinct Games
Workshop on Internet and Network Economics · 2015
43
cited
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
International Conference on Machine Learning · 2021
40
cited
Genome assembly from synthetic long read clouds
Bioinform. · 2016
34
cited
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Volodymyr Kuleshov | Researcher Profile | Sotabase | Sotabase