Jakub Swiatkowski

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	All	Since 2018
Citations	467	464
h-index	5	5
i10-index	4	4

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20172018201920202021202220232 12 18 69 143 145 76

Co-authors

Tim SalimansGoogle Brain AmsterdamVerified email at google.com
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Bastiaan S. VeelingMicrosoft Research AmsterdamVerified email at uva.nl
Rodolphe JENATTONSenior machine learning scientist at Google Brain, BerlinVerified email at google.com
Kevin RothETH ZurichVerified email at inf.ethz.ch
Jasper SnoekGoogle BrainVerified email at google.com
Linh TranImperial College LondonVerified email at imperial.ac.uk
Stephan MandtAssociate Professor, University of California, IrvineVerified email at uci.edu
Joshua V. DillonGoogleVerified email at google.com
Matthias BauerDeepMind, LondonVerified email at google.com
Mateo Rojas-CarullaLakera AIVerified email at lakera.ai
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Marek CyganUniversity of WarsawVerified email at mimuw.edu.pl
Kacper NowickiNomagicVerified email at nomagic.ai

Jakub Swiatkowski

Amazon

Verified email at amazon.com

Artificial Intelligence Deep Learning Machine Learning


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How good is the bayes posterior in deep neural networks really? F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ... International Conference on Machine Learning (ICML), 37, 2020	289	2020
Discriminative k-shot learning using probabilistic models M Bauer, M Rojas-Carulla, JB Świątkowski, B Schölkopf, RE Turner 2nd Bayesian Deep Learning Workshop, NIPS 2017, 2017	80	2017
The k-tied normal distribution: A compact parameterization of gaussian mean field posteriors in bayesian neural networks J Swiatkowski, K Roth, B Veeling, L Tran, J Dillon, J Snoek, S Mandt, ... International Conference on Machine Learning (ICML), 37, 9289-9299, 2020	44	2020
Hydra: Preserving ensemble diversity for model distillation L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ... Uncertainty & Robustness in Deep Learning Workshop, ICML 2020, 2020	41	2020
Improved GQ-CNN: Deep learning model for planning robust grasps M Jaśkowski, J Świątkowski, M Zając, M Klimek, J Potiuk, P Rybicki, ... arXiv preprint arXiv:1802.05992, 2018	8	2018
Continuous control with ensemble deep deterministic policy gradients P Januszewski, M Olko, M Królikowski, J Świątkowski, M Andrychowicz, ... arXiv preprint arXiv:2111.15382, 2021	4	2021
Cross-lingual Prosody Transfer for Expressive Machine Dubbing J Swiatkowski, D Wang, M Babianski, PL Tobing, R Vipperla, V Pollet INTERSPEECH 2023, 2023	1	2023
Expressive Machine Dubbing Through Phrase-level Cross-lingual Prosody Transfer J Swiatkowski, D Wang, M Babianski, G Coccia, PL Tobing, R Vipperla, ... INTERSPEECH 2023, 2023		2023
On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks J Świątkowski, K Roth, BS Veeling, L Tran, JV Dillon, J Snoek, S Mandt, ...		2019
Bayesian Neural Networks for K-Shot Learning JB Świątkowski		2017
Three-tier web application for medical clinics J Świątkowski Instytut Mikroelektroniki i Optoelektroniki, 2014		2014
Supplementary Materials for: The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks J Swiatkowski, K Roth, BS Veeling, L Tran, JV Dillon, J Snoek, S Mandt, ...

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