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2020 – today
- 2024
[c19]Piotr Nawrot, Adrian Lancucki, Marcin Chochowski, David Tarjan, Edoardo M. Ponti:
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference. ICML 2024- [i15]Piotr Nawrot, Adrian Lancucki, Marcin Chochowski, David Tarjan, Edoardo M. Ponti:
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference. CoRR abs/2403.09636 (2024) - 2023
- [c18]Piotr Nawrot, Jan Chorowski, Adrian Lancucki, Edoardo Maria Ponti:
Efficient Transformers with Dynamic Token Pooling. ACL (1) 2023: 6403-6417 - 2022
- [c17]Santiago Cuervo, Maciej Grabias, Jan Chorowski, Grzegorz Ciesielski, Adrian Lancucki, Pawel Rychlikowski, Ricard Marxer
:
Contrastive Prediction Strategies for Unsupervised Segmentation and Categorization of Phonemes and Words. ICASSP 2022: 3189-3193 - [c16]Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment to Rule Them All. ICASSP 2022: 6092-6096 - [c15]Santiago Cuervo, Adrian Lancucki, Ricard Marxer, Pawel Rychlikowski, Jan Chorowski:
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech. NeurIPS 2022 - [i14]Santiago Cuervo, Adrian Lancucki, Ricard Marxer, Pawel Rychlikowski, Jan Chorowski:
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech. CoRR abs/2206.02211 (2022) - [i13]Piotr Nawrot, Jan Chorowski, Adrian Lancucki, Edoardo M. Ponti:
Efficient Transformers with Dynamic Token Pooling. CoRR abs/2211.09761 (2022) - 2021
- [c14]Adrian Lancucki:
Fastpitch: Parallel Text-to-Speech with Pitch Prediction. ICASSP 2021: 6588-6592 - [c13]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski:
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw. Interspeech 2021: 971-975 - [c12]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski:
Aligned Contrastive Predictive Coding. Interspeech 2021: 976-980 - [i12]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski:
Aligned Contrastive Predictive Coding. CoRR abs/2104.11946 (2021) - [i11]Pawel Rychlikowski, Bartlomiej Najdecki, Adrian Lancucki, Adam Kaczmarek:
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data. CoRR abs/2104.13456 (2021) - [i10]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski:
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw. CoRR abs/2106.11603 (2021) - [i9]Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment To Rule Them All. CoRR abs/2108.10447 (2021) - [i8]Santiago Cuervo, Maciej Grabias, Jan Chorowski, Grzegorz Ciesielski, Adrian Lancucki, Pawel Rychlikowski, Ricard Marxer:
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words. CoRR abs/2110.15909 (2021) - 2020
- [c11]Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. IJCNN 2020: 1-7 - [c10]Sameer Khurana, Antoine Laurent, Wei-Ning Hsu, Jan Chorowski, Adrian Lancucki, Ricard Marxer, James R. Glass:
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning. INTERSPEECH 2020: 3790-3794 - [i7]Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. CoRR abs/2005.08520 (2020) - [i6]Sameer Khurana, Antoine Laurent, Wei-Ning Hsu, Jan Chorowski, Adrian Lancucki, Ricard Marxer, James R. Glass:
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning. CoRR abs/2006.02547 (2020) - [i5]Adrian Lancucki:
FastPitch: Parallel Text-to-speech with Pitch Prediction. CoRR abs/2006.06873 (2020)
2010 – 2019
- 2019
- [c9]Michal Zapotoczny, Piotr Pietrzak, Adrian Lancucki, Jan Chorowski:
Lattice Generation in Attention-Based Speech Recognition Models. INTERSPEECH 2019: 2225-2229 - [c8]Jan Chorowski, Adrian Lancucki, Bartosz Kostka, Michal Zapotoczny:
Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. INTERSPEECH 2019: 4385-4389 - [i4]Jan Chorowski, Adrian Lancucki, Bartosz Kostka, Michal Zapotoczny:
Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. CoRR abs/1901.04379 (2019) - 2018
- [c7]Szymon Malik, Adrian Lancucki, Jan Chorowski:
Efficient Purely Convolutional Text Encoding. LaCATODA@IJCAI 2018: 14-23 - [i3]Jan Chorowski, Adrian Lancucki, Szymon Malik, Maciej Pawlikowski, Pawel Rychlikowski, Pawel Zykowski:
A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017 Conversational Intelligence Challenge. CoRR abs/1805.08032 (2018) - [i2]Szymon Malik, Adrian Lancucki, Jan Chorowski:
Efficient Purely Convolutional Text Encoding. CoRR abs/1808.01160 (2018) - 2017
- [c6]Adrian Lancucki, Jan Chorowski:
Multipoint Neighbor Embedding. TSD 2017: 456-464 - 2016
- [c5]Adrian Lancucki, Indrajit Saha, Shib Sankar Bhowmick, Ujjwal Maulik, Piotr Lipinski:
A new evolutionary microRNA marker selection using next-generation sequencing data. CEC 2016: 2752-2759 - [c4]Krzysztof Michalak, Adrian Lancucki, Piotr Lipinski:
Multiobjective optimization of frequent pattern models in ultra-high frequency time series: Stability versus universality. CEC 2016: 3491-3498 - [c3]Piotr Lipinski, Krzysztof Michalak, Adrian Lancucki:
Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms. GECCO (Companion) 2016: 127-128 - 2015
- [c2]Adrian Lancucki, Indrajit Saha, Piotr Lipinski:
A new evolutionary gene selection technique. CEC 2015: 1612-1619 - 2014
- [c1]Adrian Lancucki, Jan Chorowski, Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski:
Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems. IDEAL 2014: 457-464 - [i1]Adrian Lancucki:
GGP with Advanced Reasoning and Board Knowledge Discovery. CoRR abs/1401.5813 (2014)
Coauthor Index
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last updated on 2024-09-04 01:23 CEST by the dblp team
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