E-LIB Suche - Ergebnisse für: Kuleshov, Volodymyr

1

Harnessing Biomedical Literature to Calibrate Clinicians' T..:

, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,

Yang, Qian ; Hao, Yuexing ; Quan, Kexin... - p. 1-14 , 2023

Link: https://dl.acm.org/doi/1..

2

A machine-compiled database of genome-wide association stud..:

Kuleshov, Volodymyr ; Ding, Jialin ; Vo, Christopher...
Nature Communications. 10 (2019) 1 - p. , 2019

Link: https://doi.org/10.1038/..

3

Synthetic long-read sequencing reveals intraspecies diversi..:

Kuleshov, Volodymyr ; Jiang, Chao ; Zhou, Wenyu...
Nature Biotechnology. 34 (2016) 1 - p. 64-69 , 2016

Link: https://doi.org/10.1038/..

4

Genome assembly from synthetic long read clouds:

Kuleshov, Volodymyr ; Snyder, Michael P. ; Batzoglou, Serafim
Bioinformatics. 32 (2016) 12 - p. i216-i224 , 2016

Link: https://doi.org/10.1093/..

5

Whole-genome haplotyping using long reads and statistical m..:

Kuleshov, Volodymyr ; Xie, Dan ; Chen, Rui...
Nature Biotechnology. 32 (2014) 3 - p. 261-266 , 2014

Link: https://doi.org/10.1038/..

6

Probabilistic single-individual haplotyping:

Kuleshov, Volodymyr
Bioinformatics. 30 (2014) 17 - p. i379-i385 , 2014

Link: https://doi.org/10.1093/..

7

On the Efficiency of Markets with Two-Sided Proportional Al..:

, In: Algorithmic Game Theory; Lecture Notes in Computer Science,

Kuleshov, Volodymyr ; Vetta, Adrian - p. 246-261 , 2010

Link: https://doi.org/10.1007/..

8

On the efficiency of markets with two-sided proportional al..:

, In: Proceedings of the Third international conference on Algorithmic game theory,

Kuleshov, Volodymyr ; Vetta, Adrian - p. 246-261 , 2010

Link: https://dl.acm.org/doi/1..

9

Diffusion Variational Inference: Diffusion Models as Expres..:

Piriyakulkij, Top ; Wang, Yingheng ; Kuleshov, Volodymyr
http://arxiv.org/abs/2401.02739. , 2024

Link: http://arxiv.org/abs/240..

10

Calibrated Propensity Scores for Causal Effect Estimation:

Deshpande, Shachi ; Kuleshov, Volodymyr
http://arxiv.org/abs/2306.00382. , 2023

Link: http://arxiv.org/abs/230..

11

Text Embeddings Reveal (Almost) As Much As Text:

Morris, John X ; Kuleshov, Volodymyr ; Shmatikov, Vitaly.
http://arxiv.org/abs/2310.06816. , 2023

Link: http://arxiv.org/abs/231..

12

Adversarial Calibrated Regression for Online Decision Makin:

Kuleshov, Volodymyr ; Deshpande, Shachi
http://arxiv.org/abs/2302.12196. , 2023

Link: http://arxiv.org/abs/230..

13

ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integra..:

Yin, Junjie ; Dong, Jiahao ; Wang, Yingheng..
http://arxiv.org/abs/2309.16119. , 2023

Link: http://arxiv.org/abs/230..

14

Active Preference Inference using Language Models and Proba..:

Piriyakulkij, Top ; Kuleshov, Volodymyr ; Ellis, Kevin
http://arxiv.org/abs/2312.12009. , 2023

Link: http://arxiv.org/abs/231..

15

Diffusion Models With Learned Adaptive Noise:

Sahoo, Subham Sekhar ; Gokaslan, Aaron ; De Sa, Chris.
http://arxiv.org/abs/2312.13236. , 2023

Link: http://arxiv.org/abs/231..