Philipp Grohs is affiliated with the University of Vienna in Austria. Their research primarily spans the fields of Computer Science and Physics and Astronomy, with a significant focus on several subfields and topics connecting deep learning, neural networks, and applied mathematics.
Grohs's main subfields of study include:
Their work covers a variety of research topics, notably:
Grohs has contributed to numerous publications throughout their career. Some recent representative papers include:
In addition to articles, Grohs has published books, notably through Cambridge University Press, including Mathematical Aspects of Deep Learning (2022).
Their publication record shows frequent appearances in venues such as:
Common collaborators in Grohs's research include:
Helmut Bölcskei;Philipp Grohs;Gitta Kutyniok;Philipp Petersen
Philipp Grohs;Fabian Hornung;Arnulf Jentzen;Philippe von Wurstemberger
Julius Berner;Philipp Grohs;Arnulf Jentzen
Dennis Elbrachter;Dmytro Perekrestenko;Philipp Grohs;Helmut Bolcskei
Christian Beck;Sebastian Becker;Philipp Grohs;Nor Jaafari
Dennis Elbrächter;Philipp Grohs;Philipp Grohs;Arnulf Jentzen;Arnulf Jentzen;Christoph Schwab
Helmut Pottmann;Philipp Grohs;Niloy J. Mitra
Philipp Grohs;Gitta Kutyniok
Christian Beck;Sebastian Becker;Philipp Grohs;Nor Jaafari
Julius Berner;Philipp Grohs;Gitta Kutyniok;Philipp Petersen
Philipp Grohs;Sarah Koppensteiner;Martin Rathmair
Philipp Grohs
P. Grohs;S. Hosseini
Rima Alaifari;Ingrid Daubechies;Philipp Grohs;Rujie Yin
Rima Alaifari;Philipp Grohs
Philipp Grohs;Martin Rathmair
J. Wallner;E. Nava Yazdani;P. Grohs
P. Grohs;S. Hosseini
Philipp Grohs
Philipp Grohs;Hanne Hardering;Oliver Sander
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