Підписатись
Timur Garipov
Timur Garipov
OpenAI
Підтверджена електронна адреса в openai.com - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
18662018
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
9762019
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
8202018
Ultimate tensorization: compressing convolutional and FC layers alike
T Garipov, D Podoprikhin, A Novikov, D Vetrov
arXiv preprint arXiv:1611.03214, 2016
2362016
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
1932020
Openai o1 system card
A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ...
arXiv preprint arXiv:2412.16720, 2024
802024
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
562018
Bayesian Incremental Learning for Deep Neural Networks
M Kochurov, T Garipov, D Podoprikhin, D Molchanov, A Ashukha, ...
arXiv preprint arXiv:1802.07329, 2018
242018
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
202023
Adversarial Support Alignment
S Tong, T Garipov, Y Zhang, S Chang, TS Jaakkola
International Conference on Learning Representations, 2021
132021
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
102018
Generative Data Mining with Longtail-Guided Diffusion
DS Hayden, M Ye, T Garipov, GP Meyer, C Vondrick, Z Chen, Y Chai, ...
arXiv preprint arXiv:2502.01980, 2025
2025
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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