متابعة
Rahul G. Krishnan
Rahul G. Krishnan
University of Toronto
بريد إلكتروني تم التحقق منه على cs.toronto.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Variational autoencoders for collaborative filtering‏
D Liang, RG Krishnan, MD Hoffman, T Jebara‏
Proceedings of the 2018 World Wide Web Conference, 689-698, 2018‏
15102018
Structured Inference Networks for Nonlinear State Space Models‏
RG Krishnan, U Shalit, D Sontag‏
arXiv preprint arXiv:1609.09869, 2016‏
5682016
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning‏
RJ Chen, C Chen, Y Li, TY Chen, AD Trister, RG Krishnan, F Mahmood‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022‏
4962022
Deep Kalman Filters‏
RG Krishnan, U Shalit, D Sontag‏
arXiv preprint arXiv:1511.05121, 2015‏
4612015
Clinical camel: An open-source expert-level medical language model with dialogue-based knowledge encoding‏
A Toma, PR Lawler, J Ba, RG Krishnan, BB Rubin, B Wang‏
CoRR, 2023‏
108*2023
On the challenges of learning with inference networks on sparse, high-dimensional data‏
RG Krishnan, D Liang, MD Hoffman‏
The 21st International Conference on Artificial Intelligence and Statistics, 2018‏
1002018
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology‏
RJ Chen, RG Krishnan‏
arXiv preprint arXiv:2203.00585, 2022‏
822022
Barrier Frank-Wolfe for marginal inference‏
RG Krishnan, S Lacoste-Julien, D Sontag‏
Advances in Neural Information Processing Systems, 532-540, 2015‏
502015
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics‏
EP Lehman, RG Krishnan, X Zhao, RG Mark, HL Li-wei‏
Machine Learning for Healthcare Conference, 571-586, 2018‏
332018
Machine learning in computational histopathology: Challenges and opportunities‏
M Cooper, Z Ji, RG Krishnan‏
Genes, Chromosomes and Cancer 62 (9), 540-556, 2023‏
272023
Early detection of diabetes from health claims‏
R Krishnan, N Razavian, Y Choi, S Nigam, S Blecker, A Schmidt, ...‏
Machine Learning in Healthcare Workshop, NIPS, 1-5, 2013‏
212013
Performance of Large Language Models on Medical Oncology Examination Questions‏
JB Longwell, I Hirsch, F Binder, GAG Conchas, D Mau, R Jang, ...‏
JAMA Network Open 7 (6), e2417641-e2417641, 2024‏
202024
Partial identification of treatment effects with implicit generative models‏
V Balazadeh Meresht, V Syrgkanis, RG Krishnan‏
Advances in Neural Information Processing Systems 35, 22816-22829, 2022‏
20*2022
Clustering Interval-Censored Time-Series for Disease Phenotyping‏
IY Chen, RG Krishnan, D Sontag‏
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6211-6221, 2022‏
182022
Neural pharmacodynamic state space modeling‏
ZM Hussain, RG Krishnan, D Sontag‏
International Conference on Machine Learning, 4500-4510, 2021‏
152021
A Learning Based Hypothesis Test for Harmful Covariate Shift‏
T Ginsberg, Z Liang, RG Krishnan‏
arXiv preprint arXiv:2212.02742, 2022‏
142022
Automated identification and quantification of traumatic brain injury from CT scans: Are we there yet?‏
A Hibi, M Jaberipour, MD Cusimano, A Bilbily, RG Krishnan, RI Aviv, ...‏
Medicine 101 (47), e31848, 2022‏
102022
Hierarchical Optimal Transport for Comparing Histopathology Datasets‏
A Yeaton, RG Krishnan, R Mieloszyk, D Alvarez-Melis, G Huynh‏
arXiv preprint arXiv:2204.08324, 2022‏
92022
A Geometric Explanation of the Likelihood OOD Detection Paradox‏
H Kamkari, BL Ross, JC Cresswell, AL Caterini, RG Krishnan, ...‏
arXiv preprint arXiv:2403.18910, 2024‏
82024
Duett: Dual event time transformer for electronic health records‏
A Labach, A Pokhrel, XS Huang, S Zuberi, SE Yi, M Volkovs, T Poutanen, ...‏
Machine Learning for Healthcare Conference, 403-422, 2023‏
82023
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مقالات 1–20