Articles with public access mandates - Rahul G. KrishnanLearn more
Available somewhere: 9
Structured Inference Networks for Nonlinear State Space Models
RG Krishnan, U Shalit, D Sontag
arXiv preprint arXiv:1609.09869, 2016
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation, US National Institutes of Health
Machine learning in computational histopathology: Challenges and opportunities
M Cooper, Z Ji, RG Krishnan
Genes, Chromosomes and Cancer 62 (9), 540-556, 2023
Mandates: Canadian Institutes of Health Research
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
Mandates: Natural Sciences and Engineering Research Council of Canada
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
Mandates: US National Science Foundation, Michael J Fox Foundation
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
Mandates: Canadian Institutes of Health Research
Copula-based deep survival models for dependent censoring
AHF Gharari, M Cooper, R Greiner, RG Krishnan
Uncertainty in Artificial Intelligence, 669-680, 2023
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Mitigating bias in estimating epidemic severity due to heterogeneity of epidemic onset and data aggregation
RG Krishnan, S Cenci, L Bourouiba
Annals of Epidemiology 65, 1-14, 2022
Mandates: Wellcome Trust
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