Karol J. Piczak

According to our database, Karol J. Piczak authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hypernetworks Build Implicit Neural Representations of Sounds.

Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.

Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

CoRR, 2022

Continual Learning with Guarantees via Weight Interval Constraints.

Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek

Proceedings of the International Conference on Machine Learning, 2022

2021

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario.

Lukasz Lepak, Kacper Radzikowski, Robert Nowak, Karol J. Piczak

Sensors, 2021

Continual Learning of 3D Point Cloud Generators.

Michal Sadowski, Karol J. Piczak, Przemyslaw Spurek, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2018

Siamese Generative Adversarial Privatizer for Biometric Data.

Witold Oleszkiewicz, Tomasz Wlodarczyk, Karol J. Piczak, Tomasz Trzcinski, Peter Kairouz, Ram Rajagopal

CoRR, 2018

Siamese Generative Adversarial Privatizer for Biometric Data.

Witold Oleszkiewicz, Peter Kairouz, Karol J. Piczak, Ram Rajagopal, Tomasz Trzcinski

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification.

Karol J. Piczak

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

Recognizing Bird Species in Audio Recordings using Deep Convolutional Neural Networks.

Karol J. Piczak

Proceedings of the Working Notes of CLEF 2016, 2016

2015

ESC: Dataset for Environmental Sound Classification.

Karol J. Piczak

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Environmental sound classification with convolutional neural networks.

Karol J. Piczak

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015