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Romuald A. Janik
Person information
- affiliation: Jagiellonian University, Institute of Theoretical Physics, Mark Kac Center for Complex Systems Research, Kraków, Poland
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2020 – today
- 2026
[j2]Igor Sieradzki, Lukasz Struski
, Igor Tomasz Podolak, Romuald Aleksander Janik:
Class Incremental Learning and Auxiliary Unlabelled Data: The Importance of Neutral Examples. Mach. Learn. 115(4): 85 (2026)- 2024
[j1]Tim Whittaker
, Romuald A. Janik, Yaron Oz:
Turbulence scaling from deep learning diffusion generative models. J. Comput. Phys. 514: 113239 (2024)- 2023
[i8]Romuald A. Janik
:
Aspects of human memory and Large Language Models. CoRR abs/2311.03839 (2023)
[i7]Tim Whittaker, Romuald A. Janik
, Yaron Oz:
Turbulence Scaling from Deep Learning Diffusion Generative Models. CoRR abs/2311.06112 (2023)- 2022
[c1]Aleksandra Nowak
, Romuald A. Janik
:
Discovering Wiring Patterns Influencing Neural Network Performance. ECML/PKDD (3) 2022: 631-646
[i6]Tim Whittaker, Romuald A. Janik, Yaron Oz:
Neural Network Complexity of Chaos and Turbulence. CoRR abs/2211.15382 (2022)- 2021
[i5]Romuald A. Janik:
Aesthetics and neural network image representations. CoRR abs/2109.08103 (2021)- 2020
[i4]Romuald A. Janik, Aleksandra Nowak
:
Neural Networks on Random Graphs. CoRR abs/2002.08104 (2020)
[i3]Romuald A. Janik, Przemek Witaszczyk:
Complexity for deep neural networks and other characteristics of deep feature representations. CoRR abs/2006.04791 (2020)
[i2]Romuald A. Janik, Aleksandra Nowak
:
Neural networks adapting to datasets: learning network size and topology. CoRR abs/2006.12195 (2020)
2010 – 2019
- 2019
[i1]Romuald A. Janik:
Entropy from Machine Learning. CoRR abs/1909.10831 (2019)
Coauthor Index

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