Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. - Jan Chorowski; Jacek M. Zurada (ICANN (2), 2011)

Extracting Rules From Neural Networks as Decision Diagrams. - Jan Chorowski; Jacek M. Zurada (IEEE Trans. Neural Networks, 2011)

Robust 3D Action Recognition with Random Occupancy Patterns. - Jiang Wang 001; Zicheng Liu 001; Jan Chorowski; Zhuoyuan Chen; Ying Wu 001 (ECCV (2), 2012)

Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. - Tolga Ensari; Jan Chorowski; Jacek M. Zurada (ICANN (2), 2012)

Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. - Jan Chorowski; Jacek M. Zurada (ICMLA (1), 2012)

Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. - Tolga Ensari; Jan Chorowski; Jacek M. Zurada (ICMLA (1), 2012)

Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining. - Jacek M. Zurada; Tolga Ensari; Ehsan Hosseini-Asl; Jan Chorowski (FedCSIS, 2013)

Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems. - Adrian Lancucki; Jan Chorowski; Krzysztof Michalak; Patryk Filipiak; Piotr Lipinski (IDEAL, 2014)

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results. - Jan Chorowski; Dzmitry Bahdanau; Kyunghyun Cho; Yoshua Bengio (CoRR, 2014)

Review and performance comparison of SVM- and ELM-based classifiers. - Jan Chorowski; Jian Wang 010; Jacek M. Zurada (Neurocomputing, 2014)

Attention-Based Models for Speech Recognition. - Jan Chorowski; Dzmitry Bahdanau; Dmitriy Serdyuk; Kyunghyun Cho; Yoshua Bengio (NIPS, 2015)

Task Loss Estimation for Sequence Prediction. - Dzmitry Bahdanau; Dmitriy Serdyuk; Philemon Brakel; Nan Rosemary Ke; Jan Chorowski; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Blocks and Fuel: Frameworks for deep learning. - Bart van Merriënboer; Dzmitry Bahdanau; Vincent Dumoulin; Dmitriy Serdyuk; David Warde-Farley; Jan Chorowski; Yoshua Bengio (CoRR, 2015)

Learning Understandable Neural Networks With Nonnegative Weight Constraints. - Jan Chorowski; Jacek M. Zurada (IEEE Trans. Neural Networks Learn. Syst., 2015)

End-to-end attention-based large vocabulary speech recognition. - Dzmitry Bahdanau; Jan Chorowski; Dmitriy Serdyuk; Philemon Brakel; Yoshua Bengio (ICASSP, 2016)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing. - Jan Chorowski; Michal Zapotoczny; Pawel Rychlikowski (CoRR, 2016)

Intelligible Language Modeling with Input Switched Affine Networks. - Jakob N. Foerster; Justin Gilmer; Jan Chorowski; Jascha Sohl-Dickstein; David Sussillo (CoRR, 2016)

Regularizing Neural Networks by Penalizing Confident Output Distributions. - Gabriel Pereyra; George Tucker; Jan Chorowski; Lukasz Kaiser; Geoffrey E. Hinton (ICLR (Workshop), 2017)

Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. - Jakob N. Foerster; Justin Gilmer; Jascha Sohl-Dickstein; Jan Chorowski; David Sussillo (ICML, 2017)

Towards Better Decoding and Language Model Integration in Sequence to Sequence Models. - Jan Chorowski; Navdeep Jaitly (INTERSPEECH, 2017)

Sequence-to-Sequence Models Can Directly Translate Foreign Speech. - Ron J. Weiss; Jan Chorowski; Navdeep Jaitly; Yonghui Wu; Zhifeng Chen (INTERSPEECH, 2017)

Multipoint Neighbor Embedding. - Adrian Lancucki; Jan Chorowski (TSD, 2017)

On Multilingual Training of Neural Dependency Parsers. - Michal Zapotoczny; Pawel Rychlikowski; Jan Chorowski (TSD, 2017)

Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech. - Ron J. Weiss; Jan Chorowski; Navdeep Jaitly; Yonghui Wu; Zhifeng Chen (CoRR, 2017)

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. - Chung-Cheng Chiu; Tara N. Sainath; Yonghui Wu; Rohit Prabhavalkar; Patrick Nguyen; Zhifeng Chen; Anjuli Kannan; Ron J. Weiss; Kanishka Rao; Ekaterina Gonina; Navdeep Jaitly; Bo Li 028; et al. (ICASSP, 2018)

On Using Backpropagation for Speech Texture Generation and Voice Conversion. - Jan Chorowski; Ron J. Weiss; Rif A. Saurous; Samy Bengio (ICASSP, 2018)

Efficient Purely Convolutional Text Encoding. - Szymon Malik; Adrian Lancucki; Jan Chorowski (LaCATODA@IJCAI, 2018)

A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017 Conversational Intelligence Challenge. - Jan Chorowski; Adrian Lancucki; Szymon Malik; Maciej Pawlikowski; Pawel Rychlikowski; Pawel Zykowski (CoRR, 2018)

Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. - Jan Chorowski; Adrian Lancucki; Bartosz Kostka; Michal Zapotoczny (INTERSPEECH, 2019)

Lattice Generation in Attention-Based Speech Recognition Models. - Michal Zapotoczny; Piotr Pietrzak; Adrian Lancucki; Jan Chorowski (INTERSPEECH, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Conditional Invertible Flow for Point Cloud Generation. - Michal Stypulkowski; Maciej Zamorski; Maciej Zieba; Jan Chorowski (CoRR, 2019)

Unsupervised Speech Representation Learning Using WaveNet Autoencoders. - Jan Chorowski; Ron J. Weiss; Samy Bengio; Aäron van den Oord (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

The "ScribbleLens" Dutch Historical Handwriting Corpus. - Hans J. G. A. Dolfing; Jerome R. Bellegarda; Jan Chorowski; Ricard Marxer; Antoine Laurent (ICFHR, 2020)

Robust Training of Vector Quantized Bottleneck Models. - Adrian Lancucki; Jan Chorowski; Guillaume Sanchez; Ricard Marxer; Nanxin Chen; Hans J. G. A. Dolfing; Sameer Khurana; Tanel Alumäe; Antoine Laurent (IJCNN, 2020)

A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning. - Sameer Khurana; Antoine Laurent; Wei-Ning Hsu; Jan Chorowski; Adrian Lancucki; Ricard Marxer; James R. Glass (INTERSPEECH, 2020)

Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw. - Jan Chorowski; Grzegorz Ciesielski; Jaroslaw Dzikowski; Adrian Lancucki; Ricard Marxer; Mateusz Opala; Piotr Pusz; Pawel Rychlikowski; Michal Stypulkowski (Interspeech, 2021)

Aligned Contrastive Predictive Coding. - Jan Chorowski; Grzegorz Ciesielski; Jaroslaw Dzikowski; Adrian Lancucki; Ricard Marxer; Mateusz Opala; Piotr Pusz; Pawel Rychlikowski; Michal Stypulkowski (Interspeech, 2021)

Representing point clouds with generative conditional invertible flow networks. - Michal Stypulkowski; Kacper Kania; Maciej Zamorski; Maciej Zieba; Tomasz Trzcinski; Jan Chorowski (Pattern Recognit. Lett., 2021)

Contrastive Prediction Strategies for Unsupervised Segmentation and Categorization of Phonemes and Words. - Santiago Cuervo; Maciej Grabias; Jan Chorowski; Grzegorz Ciesielski; Adrian Lancucki; Pawel Rychlikowski; Ricard Marxer (ICASSP, 2022)

Variable-rate hierarchical CPC leads to acoustic unit discovery in speech. - Santiago Cuervo; Adrian Lancucki; Ricard Marxer; Pawel Rychlikowski; Jan Chorowski (NeurIPS, 2022)

Efficient Transformers with Dynamic Token Pooling. - Piotr Nawrot; Jan Chorowski; Adrian Lancucki; Edoardo Maria Ponti (ACL (1), 2023)

Pathway: a fast and flexible unified stream data processing framework for analytical and Machine Learning applications. - Michal Bartoszkiewicz; Jan Chorowski; Adrian Kosowski; Jakub Kowalski; Sergey Kulik; Mateusz Lewandowski; Krzysztof Nowicki 002; Kamil Piechowiak; Olivier Ruas; Zuzanna Stamirowska; Przemyslaw Uznanski (CoRR, 2023)