Analysis of oscillatory metastable operation of an RS flip-flop. - Tomasz Kacprzak (IEEE J. Solid State Circuits, 1988)

Multiple-input transconductance CMOS amplifier for implementation in continuously programmable cellular neural networks. - Tomasz Kacprzak (ICECS, 1998)

Cellular neural network based weighted median filter for real time image processing. - Jacek Kowalski; Tomasz Kacprzak (ICIP (1), 2001)

Use of neural networks for design of geolocation system in indoor applications. - Maciej Rutecki; Tomasz Kacprzak (ISWPC, 2008)

GRASP Algorithm for Optimization of Grids for Multiple Classifier System. - Tomasz Kacprzak; Krzysztof Walkowiak; Michal Wozniak 001 (SOCO, 2010)

Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach. - Tomasz Kacprzak; Krzysztof Walkowiak; Michal Wozniak 001 (Log. J. IGPL, 2012)

Analysis of the influence of radio beacon placement on the accuracy of indoor positioning system. - Krzysztof Piwowarczyk; Piotr Korbel; Tomasz Kacprzak (FedCSIS, 2013)

GalSim: The modular galaxy image simulation toolkit. - 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; et al. (Astron. Comput., 2015)

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. - Nathanaël Perraudin; Michaël Defferrard; Tomasz Kacprzak; Raphaël Sgier (Astron. Comput., 2019)

DeepSphere: towards an equivariant graph-based spherical CNN. - Michaël Defferrard; Nathanaël Perraudin; Tomasz Kacprzak; Raphaël Sgier (CoRR, 2019)

Cosmological N-body simulations: a challenge for scalable generative models. - Nathanaël Perraudin; Ankit Srivastava; Aurélien Lucchi; Tomasz Kacprzak; Thomas Hofmann; Alexandre Réfrégier (CoRR, 2019)

Predicting cosmological observables with PyCosmo. - Federica Tarsitano; Uwe Schmitt; Alexandre Refregier; Janis Fluri; Raphaël Sgier; Andrina Nicola; Jörg Herbel; Adam Amara; Tomasz Kacprzak; Lavinia Heisenberg (Astron. Comput., 2021)

Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks. - Nathanaël Perraudin; Sandro Marcon; Aurélien Lucchi; Tomasz Kacprzak (Frontiers Artif. Intell., 2021)

DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes. - Tomasz Kacprzak; Janis Fluri (CoRR, 2022)

Cosmology from Galaxy Redshift Surveys with PointNet. - Sotiris Anagnostidis; Arne Thomsen; Tomasz Kacprzak; Tilman Tröster; Luca Biggio; Alexandre Refregier; Thomas Hofmann (CoRR, 2022)

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. - 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; et al. (CoRR, 2023)

Scalable Approximate Algorithms for Optimal Transport Linear Models. - Tomasz Kacprzak; Francois Kamper; Michael Weiss; Gianluca Janka; Ann M. Dillner; Satoshi Takahama (CoRR, 2025)