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ORCIDTomasz Kacprzak
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2020 – today
- 2023
[i7]Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord
, Joshua E. G. Peek, Mike 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
- [j6]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) - [j5]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
- [j4]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
- [j3]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
- [j2]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
1980 – 1989
- 1988
- [j1]Tomasz Kacprzak:
Analysis of oscillatory metastable operation of an RS flip-flop. IEEE J. Solid State Circuits 23(1): 260-266 (1988)
Coauthor Index
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