Pavel Izmailov
Pavel Izmailov
PhD Student, NYU
Verified email at nyu.edu - Homepage
TitleCited byYear
Averaging Weights Leads to Wider Optima and Better Generalization
P Izmailov, D Podoprikhin, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence (UAI), 2018
622018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
T Garipov, P Izmailov, D Podoprikhin, DP Vetrov, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2018
312018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
B Athiwaratkun, M Finzi, P Izmailov, AG Wilson
International Conference on Learning Representations (ICLR 2019), 2018
23*2018
A Simple Baseline for Bayesian Uncertainty in Deep Learning
W Maddox, T Garipov, P Izmailov, D Vetrov, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2019
92019
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
P Izmailov, A Novikov, D Kropotov
Artificial Intelligence and Statistics (AISTATS), 2018
72018
Tensor Train decomposition on TensorFlow (T3F)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
arXiv preprint arXiv:1801.01928, 2018
42018
Improving Stability in Deep Reinforcement Learning with Weight Averaging
E Nikishin, P Izmailov, B Athiwaratkun, D Podoprikhin, T Garipov, ...
Uncertainty in Deep Learning Workshop at UAI, 2018
22018
Fast Uncertainty Estimates and Bayesian Model Averaging of DNNs
W Maddox, T Garipov, P Izmailov, D Vetrov, AG Wilson
Uncertainty in Deep Learning Workshop at UAI, 2018
12018
Faster variational inducing input Gaussian process classification
P Izmailov, D Kropotov
Machine Learning and Data Analysis 4 (3), 20-35, 2017
12017
Subspace Inference for Bayesian Deep Learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence (UAI), 2019
2019
Semi-Supervised Learning with Normalizing Flows
P Izmailov, P Kirichenko, M Finzi, AG Wilson
Workshop on Invertible Neural Nets and Normalizing Flows at ICML, 2019
2019
Invertible Convolutional Networks
M Finzi, P Izmailov, W Maddox, P Kirichenko, AG Wilson
Workshop on Invertible Neural Nets and Normalizing Flows at ICML, 2019
2019
Алгоритмы обучения гауссовских процессов для больших объемов данных
ПА Измаилов
ББК 22 С23, 64, 2017
2017
Gaussian Processes for Machine Learning
P Izmailov
2016
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Articles 1–14