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Volodymyr Kuleshov
Volodymyr Kuleshov
Cornell Tech
Adresse e-mail validée de stanford.edu - Page d'accueil
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A guide to deep learning in healthcare
A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ...
Nature medicine 25 (1), 24-29, 2019
37572019
Accurate uncertainties for deep learning using calibrated regression
V Kuleshov, N Fenner, S Ermon
International conference on machine learning, 2796-2804, 2018
7632018
Algorithms for multi-armed bandit problems
V Kuleshov, D Precup
arXiv preprint arXiv:1402.6028, 2014
6142014
Audio super resolution using neural networks
V Kuleshov, SZ Enam, S Ermon
arXiv preprint arXiv:1708.00853, 2017
239*2017
Whole-genome haplotyping using long reads and statistical methods
V Kuleshov, D Xie, R Chen, D Pushkarev, Z Ma, T Blauwkamp, M Kertesz, ...
Nature biotechnology 32 (3), 261-266, 2014
2302014
Calibrated structured prediction
V Kuleshov, PS Liang
Advances in Neural Information Processing Systems 28, 2015
1472015
Quip: 2-bit quantization of large language models with guarantees
J Chee, Y Cai, V Kuleshov, CM De Sa
Advances in Neural Information Processing Systems 36, 4396-4429, 2023
1402023
Synthetic long-read sequencing reveals intraspecies diversity in the human microbiome
V Kuleshov, C Jiang, W Zhou, F Jahanbani, S Batzoglou, M Snyder
Nature biotechnology 34 (1), 64-69, 2016
1252016
Tensor factorization via matrix factorization
V Kuleshov, A Chaganty, P Liang
Artificial Intelligence and Statistics, 507-516, 2015
1042015
Adversarial examples for natural language classification problems
V Kuleshov, S Thakoor, T Lau, S Ermon
1002018
Text embeddings reveal (almost) as much as text
JX Morris, V Kuleshov, V Shmatikov, AM Rush
arXiv preprint arXiv:2310.06816, 2023
802023
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
S Birnbaum, V Kuleshov, Z Enam, PW Koh, S Ermon
Advances in Neural Information Processing Systems 32, 2019
772019
Probabilistic single-individual haplotyping
V Kuleshov
Bioinformatics 30 (17), i379-i385, 2014
712014
Calibrated model-based deep reinforcement learning
A Malik, V Kuleshov, J Song, D Nemer, H Seymour, S Ermon
International Conference on Machine Learning, 4314-4323, 2019
662019
Harnessing biomedical literature to calibrate clinicians’ trust in AI decision support systems
Q Yang, Y Hao, K Quan, S Yang, Y Zhao, V Kuleshov, F Wang
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
642023
Caduceus: Bi-directional equivariant long-range dna sequence modeling
Y Schiff, CH Kao, A Gokaslan, T Dao, A Gu, V Kuleshov
arXiv preprint arXiv:2403.03234, 2024
622024
Quip#: Even better LLM quantization with hadamard incoherence and lattice codebooks
A Tseng, J Chee, Q Sun, V Kuleshov, C De Sa
arXiv preprint arXiv:2402.04396, 2024
612024
Inverse game theory: Learning utilities in succinct games
V Kuleshov, O Schrijvers
Web and Internet Economics: 11th International Conference, WINE 2015 …, 2015
602015
Estimating uncertainty online against an adversary
V Kuleshov, S Ermon
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
51*2017
Neural variational inference and learning in undirected graphical models
V Kuleshov, S Ermon
Advances in Neural Information Processing Systems 30, 2017
452017
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