Ivan Kobyzev
Ivan Kobyzev
ML Researcher, Borealis AI
Verified email at uwaterloo.ca
Cited by
Cited by
Normalizing flows: An introduction and review of current methods
I Kobyzev, S Prince, M Brubaker
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Representation Learning for Dynamic Graphs: A Survey
SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart
Journal of Machine Learning Research 21 (70), 1-73, 2020
A categorical approach to cyclic cohomology of quasi-Hopf algebras and Hopf algebroids
I Kobyzev, I Shapiro
Applied Categorical Structures 27 (1), 85-109, 2019
Anti-Yetter-Drinfeld modules for quasi-Hopf algebras
I Kobyzev, I Shapiro
Symmetry, Integrability and Geometry: Methods and Applications (SIGMA) 14 (098), 2018
G-theory of root stacks and equivariant K-theory
A Dhillon, I Kobyzev
Annals of K-Theory 4 (2), 151-183, 2019
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
V Balasubramanian, I Kobyzev, H Bahuleyan, I Shapiro, O Vechtomova
arXiv preprint arXiv:2004.10809, 2020
A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
A Serb, I Kobyzev, J Wang, T Prodromakis
Philosophical Transactions of the Royal Society A 378 (2164), 20190162, 2020
Tails of Lipschitz Triangular Flows
P Jaini, I Kobyzev, Y Yu, M Brubaker
arXiv preprint arXiv:1907.04481, 2019
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
N Asghar, I Kobyzev, J Hoey, P Poupart, MB Sheikh
arXiv preprint arXiv:2003.03645, 2020
Tails of Lipschitz Triangular Flows
P Jaini, I Kobyzev, Y Yu, MA Brubaker
The system can't perform the operation now. Try again later.
Articles 1–10