Konrad Żołna
Konrad Żołna
Verified email at im.uj.edu.pl
Title
Cited by
Cited by
Year
Fraternal dropout
K Zolna, D Arpit, D Suhubdy, Y Bengio
Proceedings of the 6th International Conference on Learning Representations, 2017
242017
Towards homoscedastic nonlinear cointegration for structural health monitoring
K Zolna, PB Dao, WJ Staszewski, T Barszcz
Mechanical Systems and Signal Processing 75, 94-108, 2016
172016
Focused Hierarchical RNNs for Conditional Sequence Processing
NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ...
Proceedings of the 35th International Conference on Machine Learning, 2018
142018
Nonlinear cointegration approach for condition monitoring of wind turbines
K Zolna, PB Dao, WJ Staszewski, T Barszcz
Mathematical Problems in Engineering 2015, 2015
142015
Adversarial framing for image and video classification
K Zolna, M Zajac, N Rostamzadeh, PO Pinheiro
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019
102019
Classifier-agnostic saliency map extraction
K Zolna, KJ Geras, K Cho
Computer Vision and Image Understanding, 102969, 2020
72020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, S Gómez Colmenarejo, A Novikov, K Konyushkova, S Reed, ...
Robotics: Science and Systems, 2020
7*2020
Reinforced Imitation in Heterogeneous Action Space
K Zolna, N Rostamzadeh, Y Bengio, S Ahn, PO Pinheiro
arXiv preprint arXiv:1904.03438, 2019
6*2019
Task-relevant adversarial imitation learning
K Zolna, S Reed, A Novikov, SG Colmenarej, D Budden, S Cabi, M Denil, ...
arXiv preprint arXiv:1910.01077, 2019
52019
The dynamics of handwriting improves the automated diagnosis of dysgraphia
K Zolna, T Asselborn, C Jolly, L Casteran, W Johal, P Dillenbourg
arXiv preprint arXiv:1906.07576, 2019
42019
Improving the performance of neural networks in regression tasks using drawering
K Zolna
2017 International Joint Conference on Neural Networks (IJCNN), 2533-2538, 2017
22017
User Modeling Using LSTM Networks
K Zolna, B Romanski
Proceedings of the AAAI Conference on Artificial Intelligence 31, 5025-5027, 2017
22017
Critic Regularized Regression
Z Wang, A Novikov, K Żołna, JT Springenberg, S Reed, B Shahriari, ...
arXiv preprint arXiv:2006.15134, 2020
12020
RL Unplugged: Benchmarks for Offline Reinforcement Learning
C Gulcehre, Z Wang, A Novikov, TL Paine, SG Colmenarejo, K Zolna, ...
arXiv preprint arXiv:2006.13888, 2020
12020
Combating False Negatives in Adversarial Imitation Learning
K Żołna, C Saharia, L Boussioux, DYT Hui, M Chevalier-Boisvert, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34, 13999-14000, 2020
1*2020
Hyperparameter Selection for Offline Reinforcement Learning
TL Paine, C Paduraru, A Michi, C Gulcehre, K Zolna, A Novikov, Z Wang, ...
arXiv preprint arXiv:2007.09055, 2020
2020
Leakage-Robust Classifier via Mask-Enhanced Training
D Stachura, C Galias, K Zolna
Proceedings of the AAAI Conference on Artificial Intelligence 34, 13923-13924, 2020
2020
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
M Zając, K Zolna, S Jastrzębski
arXiv preprint arXiv:1904.03515, 2019
2019
Method of handwritten character recognition confirmation
K Zolna, T Asselborn, W Johal
2019
Statistical analysis for piezo-based structural damage detection using enhanced nonlinear crack-wave interactions
K Dziedziech, K Zolna, Ł Pieczonka, WJ Staszewski, P Kijanka
[Lizbona]: IDMEC, 2015
2015
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Articles 1–20