Timur Garipov

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 17

Top Topics

Weighted Averaging

Surface Curvature

Top Venues

Publications

Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola
Compositional Sculpting of Iterative Generative Processes. NeurIPS (2023)
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola
Compositional Sculpting of Iterative Generative Processes. CoRR (2023)
Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
Adversarial Support Alignment. ICLR (2022)
Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
Adversarial Support Alignment. CoRR (2022)
Shangyuan Tong, Timur Garipov, Tommi S. Jaakkola
The Benefits of Pairwise Discriminators for Adversarial Training. CoRR (2020)
Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry P. Vetrov, Stephen Roberts
MLRG Deep Curvature. CoRR (2019)
Pavel Izmailov, Wesley Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
Subspace Inference for Bayesian Deep Learning. UAI (2019)
Wesley J. Maddox, Pavel Izmailov, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
A Simple Baseline for Bayesian Uncertainty in Deep Learning. NeurIPS (2019)
Wesley Maddox, Timur Garipov, Pavel Izmailov, Dmitry P. Vetrov, Andrew Gordon Wilson
A Simple Baseline for Bayesian Uncertainty in Deep Learning. CoRR (2019)
Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
Subspace Inference for Bayesian Deep Learning. CoRR (2019)
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, Andrew Gordon Wilson
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs. CoRR (2018)
Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
Bayesian Incremental Learning for Deep Neural Networks. CoRR (2018)
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, Andrew Gordon Wilson
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs. NeurIPS (2018)
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
Averaging Weights Leads to Wider Optima and Better Generalization. CoRR (2018)
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
Averaging Weights Leads to Wider Optima and Better Generalization. UAI (2018)
Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
Bayesian Incremental Learning for Deep Neural Networks. ICLR (Workshop) (2018)
Timur Garipov, Dmitry Podoprikhin, Alexander Novikov, Dmitry P. Vetrov
Ultimate tensorization: compressing convolutional and FC layers alike. CoRR (2016)