Anton Ponomarchuk
, MScElektronik
Kontakt
Email: Anton.Ponomarchuk(at)oeaw.ac.at
Telefon: +43 732 2468 5278
Veröffentlichungen
Beitrag in Fachzeitschrift (1)
Konferenzbeitrag: Publikation in Proceedings (2)
- Ponomarchuk, Anton; Koutschan, Christoph; Moser, Bernhard (2022) Unboundedness of Linear Regions of Deep ReLU Neural Networks., Database and Expert Systems Applications - DEXA 2022 Workshops: Springer, S. 3-10.
- Koutschan, Christoph; Ponomarchuk, Anton; Schicho, Josef (2022) Approximation of convex polygons by polygons., 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC): IEEE, S. 91-98.
Forschungsbericht (4)
- Koutschan, Christoph; Ponomarchuk, Anton; Schicho, Josef (2024) Representing piecewise-linear functions by functions with minimal arity. Bericht-Nr. 2024-11; RICAM: Linz.Download RIS ENW BIB
- Koutschan, Christoph; Moser, Bernhard; Ponomarchuk, Anton; Schicho, Josef (2023) Representing piecewise linear functions by functions with small arity. Bericht-Nr. 2023-07; RICAM: Linz.Download RIS ENW BIB
- Ponomarchuk, Anton; Koutschan, Christoph; Moser, Bernhard (2022) Unboundedness of Linear Regions of Deep ReLU Neural Networks. Bericht-Nr. 2022-9; RICAM: Linz.Download RIS ENW BIB
- Koutschan, Christoph; Ponomarchuk, Anton; Schicho, Josef (2021) Approximation of convex polygons by polygons. Bericht-Nr. 2021-27; RICAM: Linz.Download RIS ENW BIB