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Tomasz Kacprzak
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2020 – today
- 2023
- [i7]Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord
, Joshua E. G. Peek, M. Walmsley, John F. Wu
, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen 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 abs/2310.12528 (2023) - 2022
- [i6]Tomasz Kacprzak, Janis Fluri:
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes. CoRR abs/2203.09616 (2022) - [i5]Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann:
Cosmology from Galaxy Redshift Surveys with PointNet. CoRR abs/2211.12346 (2022) - 2021
- [j5]Federica Tarsitano
, Uwe 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: 100484 (2021) - [j4]Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi
, Tomasz Kacprzak:
Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks. Frontiers Artif. Intell. 4: 673062 (2021) - 2020
- [i4]Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak:
Emulation of cosmological mass maps with conditional generative adversarial networks. CoRR abs/2004.08139 (2020)
2010 – 2019
- 2019
- [j3]Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astron. Comput. 27: 130-146 (2019) - [i3]Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: towards an equivariant graph-based spherical CNN. CoRR abs/1904.05146 (2019) - [i2]Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier:
Cosmological N-body simulations: a challenge for scalable generative models. CoRR abs/1908.05519 (2019) - 2018
- [i1]Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. CoRR abs/1810.12186 (2018) - 2015
- [j2]Barnaby T. P. Rowe
, Michael J. Jarvis, Rachel Mandelbaum
, Gary M. Bernstein
, James F. Bosch
, Melanie Simet, Joshua E. Meyers, Tomasz Kacprzak, Reiko Nakajima, Joe Zuntz, Hironao Miyatake, Jörg P. Dietrich
, R. Armstrong, Peter Melchior
, Mandeep S. Gill:
GalSim: The modular galaxy image simulation toolkit. Astron. Comput. 10: 121-150 (2015) - 2013
- [c5]Krzysztof Piwowarczyk, Piotr Korbel, Tomasz Kacprzak:
Analysis of the influence of radio beacon placement on the accuracy of indoor positioning system. FedCSIS 2013: 889-894 - 2012
- [j1]Tomasz Kacprzak, Krzysztof Walkowiak
, Michal Wozniak
:
Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach. Log. J. IGPL 20(4): 677-688 (2012) - 2010
- [c4]Tomasz Kacprzak, Krzysztof Walkowiak
, Michal Wozniak
:
GRASP Algorithm for Optimization of Grids for Multiple Classifier System. SOCO 2010: 137-144
2000 – 2009
- 2008
- [c3]Maciej Rutecki, Tomasz Kacprzak:
Use of neural networks for design of geolocation system in indoor applications. ISWPC 2008: 451-454 - 2001
- [c2]Jacek Kowalski, Tomasz Kacprzak:
Cellular neural network based weighted median filter for real time image processing. ICIP (1) 2001: 545-548
1990 – 1999
- 1998
- [c1]Tomasz Kacprzak:
Multiple-input transconductance CMOS amplifier for implementation in continuously programmable cellular neural networks. ICECS 1998: 305-308
Coauthor Index
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