Timur Garipov - RankMe

23 papers A* 5A 2Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BERT-like Models for Slavic Morpheme Segmentation. ACL (1) Dmitry Morozov, Lizaveta Astapenka, Anna V. Glazkova, Timur Garipov, Olga Lyashevskaya
2025	A*	`conf`	Generative Data Mining with Longtail-Guided Diffusion. ICML David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa
2025	J	`jnl`	Generative Data Mining with Longtail-Guided Diffusion. CoRR David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa
2025	J	`jnl`	Keywords, Morpheme Parsing, and Syntactic Trees: Features for Text Complexity Assessment. Autom. Control. Comput. Sci. Dmitry Morozov, I. A. Smal, Timur Garipov, Anna V. Glazkova
2024	Misc	`conf`	Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases. AIST Anna V. Glazkova, Dmitry Morozov, Timur Garipov
2024	J	`jnl`	Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases. CoRR Anna V. Glazkova, Dmitry Morozov, Timur Garipov
2023	A*	`conf`	Compositional Sculpting of Iterative Generative Processes. NeurIPS Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
2023	J	`jnl`	Compositional Sculpting of Iterative Generative Processes. CoRR Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
2022	A*	`conf`	Adversarial Support Alignment. ICLR Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2022	J	`jnl`	Adversarial Support Alignment. CoRR Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2020	J	`jnl`	The Benefits of Pairwise Discriminators for Adversarial Training. CoRR Shangyuan Tong, Timur Garipov, Tommi S. Jaakkola
2019	A*	`conf`	A Simple Baseline for Bayesian Uncertainty in Deep Learning. NeurIPS Wesley J. Maddox, Pavel Izmailov, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	J	`jnl`	A Simple Baseline for Bayesian Uncertainty in Deep Learning. CoRR Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	J	`jnl`	MLRG Deep Curvature. CoRR Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry P. Vetrov, Stephen Roberts
2019	A	`conf`	Subspace Inference for Bayesian Deep Learning. UAI Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	J	`jnl`	Subspace Inference for Bayesian Deep Learning. CoRR Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2018	A	`conf`	Averaging Weights Leads to Wider Optima and Better Generalization. UAI Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2018	J	`jnl`	Averaging Weights Leads to Wider Optima and Better Generalization. CoRR Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2018	—	`conf`	Bayesian Incremental Learning for Deep Neural Networks. ICLR (Workshop) Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
2018	J	`jnl`	Bayesian Incremental Learning for Deep Neural Networks. CoRR Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
2018	A*	`conf`	Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs. NeurIPS Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, Andrew Gordon Wilson
2018	J	`jnl`	Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs. CoRR Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, Andrew Gordon Wilson
2016	J	`jnl`	Ultimate tensorization: compressing convolutional and FC layers alike. CoRR Timur Garipov, Dmitry Podoprikhin, Alexander Novikov, Dmitry P. Vetrov