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Timur Garipov
Timur Garipov
OpenAI
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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
16512018
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 32, 13153-13164, 2019
8802019
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
7302018
Ultimate tensorization: compressing convolutional and FC layers alike
T Garipov, D Podoprikhin, A Novikov, D Vetrov
arXiv preprint arXiv:1611.03214, 2016
2332016
Subspace inference for Bayesian deep learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence, 1169-1179, 2020
1812020
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
522018
Bayesian Incremental Learning for Deep Neural Networks
M Kochurov, T Garipov, D Podoprikhin, D Molchanov, A Ashukha, ...
arXiv preprint arXiv:1802.07329, 2018
222018
Compositional Sculpting of Iterative Generative Processes
T Garipov, S De Peuter, G Yang, V Garg, S Kaski, T Jaakkola
Advances in Neural Information Processing Systems (NeurIPS) 37, 2023
122023
Adversarial Support Alignment
S Tong, T Garipov, Y Zhang, S Chang, TS Jaakkola
International Conference on Learning Representations, 2021
122021
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
92018
The Benefits of Pairwise Discriminators for Adversarial Training
S Tong, T Garipov, T Jaakkola
arXiv preprint arXiv:2002.08621, 2020
2020
Diffusion Domain Expansion: Learning to Coordinate Pre-Trained Diffusion Models
E Lifar, S Savkin, T Garipov, S Tong, T Jaakkola
ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0
Contact-Aware Lyapunov Controller Design via Alternating Optimization
R Li, T Garipov
Adversarial Support Alignment via Relaxed 1D Optimal Transport
S Tong, T Garipov, Y Zhang, S Chang, T Jaakkola
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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