| 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 | 402 | 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 | 82 | 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 | 64 | 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 | 55 | 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 | 9 | 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 | 8 | 2021 |
| How good is the bayes posterior in deep neural networks really? arXiv 2020 F Wenzel, K Roth, BS Veeling, J Swiatkowski, L Tran, S Mandt, J Snoek, ... arXiv preprint arXiv:2002.02405, 0 | 5 | |
| Cross-lingual Prosody Transfer for Expressive Machine Dubbing J Swiatkowski, D Wang, M Babianski, PL Tobing, R Vipperla, V Pollet INTERSPEECH 2023, 2023 | 4 | 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 | 2 | 2023 |
| Bayesian Neural Networks for K-Shot Learning JB Świątkowski | 1 | 2017 |
| Speech translation with performance characteristics D Wang, VLJ Pollet, MW Babianski, JB Swiatkowski US Patent App. 18/193,349, 2024 | | 2024 |
| Three-tier web application for medical clinics J Świątkowski Instytut Mikroelektroniki i Optoelektroniki, 2014 | | 2014 |
| Variational Inference Applications in Deep Learning J Świątkowski | | |
| 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, ... | | |
| 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, ... | | |
Tim SalimansGoogle DeepMind AmsterdamVerified email at google.com
