Priyank Jaini
Title
Cited by
Cited by
Year
Online flow size prediction for improved network routing
P Poupart, Z Chen, P Jaini, F Fung, H Susanto, Y Geng, L Chen, K Chen, ...
2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-6, 2016
562016
Sum-of-Squares Polynomial Flow
P Jaini, KA Selby, Y Yu
International Conference of Machine Learning, ICML 2019, 2019
522019
Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise
J Burge, P Jaini
Public Library of Science - PLoS Computational Biology, 2017
272017
Online algorithms for sum-product networks with continuous variables
P Jaini, A Rashwan, H Zhao, Y Liu, E Banijamali, Z Chen, P Poupart
Conference on Probabilistic Graphical Models, 228-239, 2016
252016
Linking normative models of natural tasks to descriptive models of neural response
P Jaini, J Burge
Journal of Vision 17 (12), 16-16, 2017
182017
Prometheus: Directly learning acyclic directed graph structures for sum-product networks
P Jaini, A Ghose, P Poupart
International Conference on Probabilistic Graphical Models, 181-192, 2018
172018
Online Bayesian transfer learning for sequential data modeling
P Jaini, Z Chen, P Carbajal, E Law, L Middleton, K Regan, ...
International Conference on Learning Representations, ICLR 2017, 2016
142016
Survae flows: Surjections to bridge the gap between vaes and flows
D Nielsen, P Jaini, E Hoogeboom, O Winther, M Welling
Advances in Neural Information Processing Systems 33, 2020
82020
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation.
P Jaini, P Poupart, Y Yu
NeurIPS, 7136-7145, 2018
72018
Online and distributed learning of gaussian mixture models by bayesian moment matching
P Jaini, P Poupart
Symposium on Advances in Approximate Bayesian Inference (AABI), NeurIPS 2017, 2016
72016
Tails of Triangular Flows
P Jaini, I Kobyzev, M Brubaker, Y Yu
ICML 2020 arXiv:1907.04481, 2020
5*2020
Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models
E Hoogeboom, D Nielsen, P Jaini, P Forré, M Welling
arXiv preprint arXiv:2102.05379, 2021
12021
Self Normalizing Flows
TA Keller, JWT Peters, P Jaini, E Hoogeboom, P Forré, M Welling
arXiv preprint arXiv:2011.07248, 2020
12020
Learning directed acyclic graph SPNs in sub-quadratic time
A Ghose, P Jaini, P Poupart
International Journal of Approximate Reasoning 120, 48-73, 2020
12020
Complete hierarchy of relaxation for constrained signomial positivity
AH Wang, P Jaini, Y Yu, P Poupart
arXiv preprint arXiv:2003.03731, 2020
12020
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
P Jaini, D Nielsen, M Welling
International Conference on Artificial Intelligence and Statistics, 3349-3357, 2021
2021
Self Normalizing Flows
T Anderson Keller, JWT Peters, P Jaini, E Hoogeboom, P Forré, M Welling
arXiv e-prints, arXiv: 2011.07248, 2020
2020
A Positivstellensatz for Conditional SAGE Signomials
A Houze Wang, P Jaini, Y Yu, P Poupart
arXiv e-prints, arXiv: 2003.03731, 2020
2020
Likelihood-based Density Estimation using Deep Architectures
P Jaini
University of Waterloo, 2019
2019
Linking normative models for natural tasks and subunit models of neural response
J Burge, P Jaini
Journal of Vision 17 (10), 411-411, 2017
2017
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