Timur Garipov
Timur Garipov
PhD student, MIT
Verified email at csail.mit.edu
Title
Cited by
Cited by
Year
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
1632018
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
1062018
A simple baseline for bayesian uncertainty in deep learning
WJ Maddox, P Izmailov, T Garipov, DP Vetrov, AG Wilson
Advances in Neural Information Processing Systems, 13153-13164, 2019
642019
Ultimate tensorization: compressing convolutional and FC layers alike
T Garipov, D Podoprikhin, A Novikov, D Vetrov
arXiv preprint arXiv:1611.03214, 2016
612016
Subspace Inference for Bayesian Deep Learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
arXiv preprint arXiv:1907.07504, 2019
102019
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
82018
Bayesian Incremental Learning for Deep Neural Networks
M Kochurov, T Garipov, D Podoprikhin, D Molchanov, A Ashukha, ...
arXiv preprint arXiv:1802.07329, 2018
62018
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
The Benefits of Pairwise Discriminators for Adversarial Training
S Tong, T Garipov, T Jaakkola
arXiv preprint arXiv:2002.08621, 2020
2020
How does mini-batching affect curvature information for second order deep learning optimization?
D Granziol, X Wan, S Zohren, S Roberts, T Garipov, D Vetrov, AG Wilson, ...
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