Pavel Izmailov
Pavel Izmailov
PhD Student, NYU
確認したメール アドレス: nyu.edu - ホームページ
タイトル
引用先
引用先
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
1242018
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
742018
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
56*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
322019
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
P Izmailov, A Novikov, D Kropotov
Artificial Intelligence and Statistics (AISTATS), 2018
132018
Tensor Train decomposition on TensorFlow (T3F)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
Journal of Machine Learning Research 21, 2020
72020
Subspace Inference for Bayesian Deep Learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence (UAI), 2019
62019
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
42018
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
M Finzi, S Stanton, P Izmailov, AG Wilson
arXiv preprint arXiv:2002.12880, 2020
12020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
AG Wilson, P Izmailov
arXiv preprint arXiv:2002.08791, 2020
12020
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
12019
Invertible Convolutional Networks
M Finzi, P Izmailov, W Maddox, P Kirichenko, AG Wilson
Workshop on Invertible Neural Nets and Normalizing Flows at ICML, 2019
12019
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
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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論文 1–16