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ORCIDWojciech Czarnecki 0001
Wojciech M. Czarnecki – Wojciech Marian Czarnecki
Person information
- affiliation: Jagiellonian University, Poland
Other persons with the same name
- Wojciech Czarnecki 0002 — Gdansk University of Technology, Gdansk, Poland
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2020 – today
- 2023
[c29]Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel:
On the Limitations of the Elo, Real-World Games are Transitive, not Additive. AISTATS 2023: 2905-2921- [i45]Marta Garnelo, Wojciech Marian Czarnecki:
Exploring the Space of Key-Value-Query Models with Intention. CoRR abs/2305.10203 (2023) - [i44]Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre
, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals:
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR abs/2308.03526 (2023) - 2022
- [j11]Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess:
Behavior Priors for Efficient Reinforcement Learning. J. Mach. Learn. Res. 23: 221:1-221:68 (2022) - [j10]Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
From motor control to team play in simulated humanoid football. Sci. Robotics 7(69) (2022) - [d1]Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". Zenodo, 2022
- [i43]Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel:
On the Limitations of Elo: Real-World Games, are Transitive, not Additive. CoRR abs/2206.12301 (2022) - 2021
- [c28]Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach:
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. AISTATS 2021: 2548-2556 - [c27]Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi:
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. AAMAS 2021: 1501-1503 - [i42]Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
From Motor Control to Team Play in Simulated Humanoid Football. CoRR abs/2105.12196 (2021) - [i41]Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath:
A study on the plasticity of neural networks. CoRR abs/2106.00042 (2021) - [i40]Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki:
Open-Ended Learning Leads to Generally Capable Agents. CoRR abs/2107.12808 (2021) - [i39]Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi:
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. CoRR abs/2110.04041 (2021) - 2020
- [j9]Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel:
Negotiating team formation using deep reinforcement learning. Artif. Intell. 288: 103356 (2020) - [c26]David Balduzzi, Wojciech M. Czarnecki, Tom Anthony, Ian Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel:
Smooth markets: A basic mechanism for organizing gradient-based learners. ICLR 2020 - [c25]Siddhant M. Jayakumar, Wojciech M. Czarnecki, Jacob Menick, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu:
Multiplicative Interactions and Where to Find Them. ICLR 2020 - [c24]Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg:
Real World Games Look Like Spinning Tops. NeurIPS 2020 - [c23]Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver:
Discovering Reinforcement Learning Algorithms. NeurIPS 2020 - [i38]David Balduzzi, Wojciech M. Czarnecki, Thomas W. Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel:
Smooth markets: A basic mechanism for organizing gradient-based learners. CoRR abs/2001.04678 (2020) - [i37]Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach:
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. CoRR abs/2002.05820 (2020) - [i36]Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg:
Real World Games Look Like Spinning Tops. CoRR abs/2004.09468 (2020) - [i35]Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome T. Connor, Daniel Hennes, Paul Muller, Julien Pérolat, Bart De Vylder, Audrunas Gruslys, Rémi Munos:
Navigating the Landscape of Games. CoRR abs/2005.01642 (2020) - [i34]Adam Stooke, Valentin Dalibard, Siddhant M. Jayakumar, Wojciech M. Czarnecki, Max Jaderberg:
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning. CoRR abs/2006.15223 (2020) - [i33]Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver:
Discovering Reinforcement Learning Algorithms. CoRR abs/2007.08794 (2020) - [i32]Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel:
Negotiating Team Formation Using Deep Reinforcement Learning. CoRR abs/2010.10380 (2020) - [i31]Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess:
Behavior Priors for Efficient Reinforcement Learning. CoRR abs/2010.14274 (2020)
2010 – 2019
- 2019
- [j8]Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver:
Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 575(7782): 350-354 (2019) - [c22]Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-Task Deep Reinforcement Learning with PopArt. AAAI 2019: 3796-3803 - [c21]Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. AISTATS 2019: 1331-1340 - [c20]Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo:
Evolving Intrinsic Motivations for Altruistic Behavior. AAMAS 2019: 683-692 - [c19]Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess:
Information asymmetry in KL-regularized RL. ICLR (Poster) 2019 - [c18]David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended learning in symmetric zero-sum games. ICML 2019: 434-443 - [i30]David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended Learning in Symmetric Zero-sum Games. CoRR abs/1901.08106 (2019) - [i29]Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. CoRR abs/1902.02186 (2019) - [i28]Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Pérolat, Rémi Munos:
α-Rank: Multi-Agent Evaluation by Evolution. CoRR abs/1903.01373 (2019) - [i27]Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess:
Information asymmetry in KL-regularized RL. CoRR abs/1905.01240 (2019) - [i26]Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg:
A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. CoRR abs/1912.07559 (2019) - 2018
- [c17]Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel:
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward. AAMAS 2018: 2085-2087 - [c16]Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu:
Mix & Match Agent Curricula for Reinforcement Learning. ICML 2018: 1095-1103 - [c15]Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Progress & Compress: A scalable framework for continual learning. ICML 2018: 4535-4544 - [i25]Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami:
Kickstarting Deep Reinforcement Learning. CoRR abs/1803.03835 (2018) - [i24]Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Progress & Compress: A scalable framework for continual learning. CoRR abs/1805.06370 (2018) - [i23]Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu:
Mix&Match - Agent Curricula for Reinforcement Learning. CoRR abs/1806.01780 (2018) - [i22]Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel:
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. CoRR abs/1807.01281 (2018) - [i21]Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-task Deep Reinforcement Learning with PopArt. CoRR abs/1809.04474 (2018) - [i20]Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo:
Evolving intrinsic motivations for altruistic behavior. CoRR abs/1811.05931 (2018) - [i19]Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar, Razvan Pascanu, Balaji Lakshminarayanan:
Adapting Auxiliary Losses Using Gradient Similarity. CoRR abs/1812.02224 (2018) - 2017
- [j7]Sabina Podlewska, Wojciech M. Czarnecki, Rafal Kafel, Andrzej J. Bojarski:
Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization. J. Chem. Inf. Model. 57(2): 133-147 (2017) - [j6]Wojciech Marian Czarnecki, Jacek Tabor:
Extreme entropy machines: robust information theoretic classification. Pattern Anal. Appl. 20(2): 383-400 (2017) - [c14]Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu:
Reinforcement Learning with Unsupervised Auxiliary Tasks. ICLR 2017 - [c13]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML 2017: 904-912 - [c12]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. ICML 2017: 1627-1635 - [c11]Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu:
Sobolev Training for Neural Networks. NIPS 2017: 4278-4287 - [c10]Yee Whye Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu:
Distral: Robust multitask reinforcement learning. NIPS 2017: 4496-4506 - [i18]Stanislaw Jastrzebski, Damian Lesniak, Wojciech Marian Czarnecki:
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks. CoRR abs/1702.02170 (2017) - [i17]Katarzyna Janocha, Wojciech Marian Czarnecki:
On Loss Functions for Deep Neural Networks in Classification. CoRR abs/1702.05659 (2017) - [i16]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR abs/1703.00522 (2017) - [i15]Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu:
Sobolev Training for Neural Networks. CoRR abs/1706.04859 (2017) - [i14]Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel:
Value-Decomposition Networks For Cooperative Multi-Agent Learning. CoRR abs/1706.05296 (2017) - [i13]Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom:
Grounded Language Learning in a Simulated 3D World. CoRR abs/1706.06551 (2017) - [i12]Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu:
Distral: Robust Multitask Reinforcement Learning. CoRR abs/1707.04175 (2017) - [i11]Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu:
Population Based Training of Neural Networks. CoRR abs/1711.09846 (2017) - 2016
- [i10]Stanislaw Jastrzebski, Damian Lesniak, Wojciech Marian Czarnecki:
Learning to SMILE(S). CoRR abs/1602.06289 (2016) - [i9]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. CoRR abs/1608.05343 (2016) - [i8]Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu:
Reinforcement Learning with Unsupervised Auxiliary Tasks. CoRR abs/1611.05397 (2016) - [i7]Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu:
Local minima in training of deep networks. CoRR abs/1611.06310 (2016) - 2015
- [j5]Wojciech Marian Czarnecki:
Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery. IEEE Comput. Intell. Mag. 10(3): 19-29 (2015) - [j4]Wojciech Marian Czarnecki, Jacek Tabor:
Multithreshold Entropy Linear Classifier: Theory and applications. Expert Syst. Appl. 42(13): 5591-5606 (2015) - [j3]Wojciech M. Czarnecki, Sabina Podlewska, Andrzej J. Bojarski:
Robust optimization of SVM hyperparameters in the classification of bioactive compounds. J. Cheminformatics 7: 38:1-38:15 (2015) - [c9]Wojciech Marian Czarnecki, Jacek Tabor:
Online Extreme Entropy Machines for Streams Classification and Active Learning. CORES 2015: 371-381 - [c8]Wojciech Marian Czarnecki:
Adaptive Active Learning with Ensemble of Learners and Multiclass Problems. ICAISC (1) 2015: 415-426 - [c7]Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor:
Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation. ECML/PKDD (1) 2015: 52-67 - [c6]Wojciech Marian Czarnecki, Krzysztof Rataj:
Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM. TrustCom/BigDataSE/ISPA (2) 2015: 192 - [i6]Wojciech Marian Czarnecki, Jacek Tabor:
Extreme Entropy Machines: Robust information theoretic classification. CoRR abs/1501.05279 (2015) - [i5]Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor:
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation. CoRR abs/1504.02622 (2015) - [i4]Rafal Józefowicz, Wojciech Marian Czarnecki:
Fast optimization of Multithreshold Entropy Linear Classifier. CoRR abs/1504.04739 (2015) - [i3]Wojciech Marian Czarnecki:
On the consistency of Multithreshold Entropy Linear Classifier. CoRR abs/1504.04740 (2015) - 2014
- [j2]Wojciech Marian Czarnecki, Jacek Tabor:
Two ellipsoid Support Vector Machines. Expert Syst. Appl. 41(18): 8211-8224 (2014) - [j1]Wojciech Czarnecki, Krzysztof Szarzynski, Andrzej Wójtowicz:
Designing a competition for autonomous robots with a restricted set of sensors with a case study of LEGO NXT. J. Autom. Mob. Robotics Intell. Syst. 8(1): 76-81 (2014) - [c5]Wojciech M. Czarnecki, Igor T. Podolak:
Adaptive Active Learning as a Multi-armed Bandit Problem. ECAI 2014: 989-990 - [c4]Wojciech M. Czarnecki, Rafal Józefowicz:
Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features. Neural Connectomics 2014: 65-74 - [i2]Wojciech Marian Czarnecki, Jacek Tabor:
Multithreshold Entropy Linear Classifier. CoRR abs/1408.1054 (2014) - [i1]Wojciech Marian Czarnecki, Jacek Tabor:
Cluster based RBF Kernel for Support Vector Machines. CoRR abs/1408.2869 (2014) - 2013
- [c3]Wojciech M. Czarnecki, Igor T. Podolak:
Machine Learning with Known Input Data Uncertainty Measure. CISIM 2013: 379-388 - [c2]Wojciech Marian Czarnecki:
InFeST - ImageJ Plugin for Rapid Development of Image Segmentation Pipelines. ICMMI 2013: 283-290 - 2012
- [c1]Wojciech Czarnecki:
Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem. ICAISC (2) 2012: 242-250
Coauthor Index
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