[High-Dimensional Causal Analysis Team Seminar]

Date and Time: February 9th 10:00 am - 11:30 am (JST)
Venue: Online and Open Space at the RIKEN AIP Nihonbashi office*
　　The Open Space; only available to AIP researchers.
Languarge: English

　　10:00 am - 10:40 am (JST)
　　Speaker 1: Dr Renato Luís Garrido Cavalcante (Fraunhofer Heinrich Hertz Institute)
　　Title 1: Nonnegative Neural Networks: Insights from Fixed Point Theory in Thompson Metric Spaces

　　10:40 am - 11:20 am (JST)
　　Speaker 2: Mateusz Gabor (Wrocław University of Science and Technology)
　　Title 2: Positive concave deep equilibrium layers

Bio
Dr Renato Luís Garrido Cavalcante
Renato Luís Garrido Cavalcante received the Electronics
Engineering degree from the Instituto Tecnológico de Aeronáutica, S~ao José dos Campos, Brazil, in 2002, and the M.E. and Ph.D. degrees in communications and integrated systems from the Tokyo
Institute of Technology, Tokyo, Japan, in 2006 and 2008, respectively. He is currently a Group Leader with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany, and a Lecturer with the Technical University of Berlin. He held appointments as a Research Fellow with the University of Southampton, Southampton, U.K., and as a Research Associate with the University of Edinburgh, Edinburgh, U.K. His interests include signal processing for distributed systems, multiagent systems, convex analysis, machine learning, and
wireless communications.
Dr. Cavalcante was a recipient of the Excellent Paper Award from the Institute of Electronics, Information and Communication Engineers in 2006 and the IEEE Signal Processing Society (Japan Chapter) Student Paper Award in 2008. He also co-authored a study that was the recipient of the Best Student Paper Award at the 13th IEEE
International Workshop on Signal Processing Advances in Wireless Communications in 2012. From April 2003 to April 2008, he was a recipient of the Japanese Government (MEXT) Scholarship.

Mateusz Gabor
Mateusz Gabor received the M.Sc. (hons.) degree in computer science, in 2020, from the Wroclaw University of Science and Technology, Wroclaw, Poland, where he is currently working toward a Ph.D. degree in computer science. His current research interests applications of matrix and tensor decompositions, and deep equilibrium models.

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