Tomasz Kacprzak

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 10

Top Topics

Spherical Images

Machine Learning

Generative Model

Top Venues

Astron. Comput.

Frontiers Artif. Intell.

Publications

Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, M. Walmsley, J. F. Wu, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Y.-S. Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR (2023)
Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann
Cosmology from Galaxy Redshift Surveys with PointNet. CoRR (2022)
Tomasz Kacprzak, Janis Fluri
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes. CoRR (2022)
Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak
Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks. Frontiers Artif. Intell. 4 (2021)
Federica Tarsitano, U. Schmitt, Alexandre Refregier, Janis Fluri, Raphaël Sgier, Andrina Nicola, Jörg Herbel, Adam Amara, Tomasz Kacprzak, Lavinia Heisenberg
Predicting cosmological observables with PyCosmo. Astron. Comput. 36 (2021)
Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak
Emulation of cosmological mass maps with conditional generative adversarial networks. CoRR (2020)
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astron. Comput. 27 (2019)
Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphael Sgier
DeepSphere: towards an equivariant graph-based spherical CNN. CoRR (2019)
Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier
Cosmological N-body simulations: a challenge for scalable generative models. CoRR (2019)
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. CoRR (2018)
Barnaby T. P. Rowe, Michael J. Jarvis, Rachel Mandelbaum, Gary M. Bernstein, James Bosch, Melanie Simet, Joshua E. Meyers, Tomasz Kacprzak, Reiko Nakajima, Joe Zuntz, Hironao Miyatake, J. P. Dietrich, R. Armstrong, Peter Melchior, Mandeep S. Gill
GalSim: The modular galaxy image simulation toolkit. Astron. Comput. 10 (2015)
Krzysztof Piwowarczyk, Piotr Korbel, Tomasz Kacprzak
Analysis of the influence of radio beacon placement on the accuracy of indoor positioning system. FedCSIS (2013)
Tomasz Kacprzak, Krzysztof Walkowiak, Michal Wozniak
Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach. Log. J. IGPL 20 (4) (2012)
Tomasz Kacprzak, Krzysztof Walkowiak, Michal Wozniak
GRASP Algorithm for Optimization of Grids for Multiple Classifier System. SOCO (2010)
Maciej Rutecki, Tomasz Kacprzak
Use of neural networks for design of geolocation system in indoor applications. ISWPC (2008)
Jacek Kowalski, Tomasz Kacprzak
Cellular neural network based weighted median filter for real time image processing. ICIP (1) (2001)
Tomasz Kacprzak
Multiple-input transconductance CMOS amplifier for implementation in continuously programmable cellular neural networks. ICECS (1998)