Past Events
Seminar by Prof. Leo Radzihovsky "Fracton-elasticity duality"
2020-02-13Speaker: Prof. Leo Radzihovsky
Affiliation: University of Colorado, Boulder
Audience: OIST researchers and students
Seminar by Prof. Takayanagi "Shadows of Entanglement Wedges in AdS/CFT"
2020-02-13Speaker: Prof. Tadashi Takayanagi
Affiliation: Yukawa Institu te for Theoretical Physics, Kyoto University
Audience: OIST researchers and students
[PhD Thesis Presentation] - Mr. Han Yan "Fracton States of Matter:From Holography to Frustrated Magnetis"
2020-02-12PhD thesis public presentation by Mr. Han Yan
Supervisor: Professor Nic Shannon
Co-Supervisor: Professor Hirotaka Sugawara
Audience: OIST students and researchers
Mini Course: Combinatorial Topology - 1 of 3
2020-02-12Algebraic Topology is a classical branch of mathematics. Its origins are combinatorial, based on triangulations of topological spaces. In the later developments major algebraization of the subject has taken place, leading to the introduction of many algebraic invariants as we know them today.
The Mini Course will be taught by Dmitry Feichtner-Kozlov, PI of the Applied Topology Unit. His unit is interested both in developing the formal theory, as well as in applying it outside of the field, for example to Theoretical Distributed Computing.
Seminar by Prof. Collart "The Not proteins regulate translation elongation dynamic"
2020-01-23Speaker: Prof. Martine Collart
Affiliation: The University of Geneva
Audience: OIST researchers and students
[PhD Thesis Presentation] ‐ Ms. Dina Mostafa "Functional analysis of CCR4-NOT complex in pancreatic β cells"
2020-01-23PhD public presentation
Seminar by Prof. Séraphin "Starting from the ends: from eukaryotic mRNA decay mechanisms to diseases"
2020-01-22Speaker: Prof. Séraphin
Affiliation: University of Strasbourg
Audient: OIST students and reserchers
On the many dimensions of Dynamic Programming based Reinforcement Learning algorithms by Prof. Bruno Scherrer
2020-01-21Title: On the many dimensions of Dynamic Programming based Reinforcement Learning algorithms
Speaker: Prof. Bruno Scherrer
Affiliation: Probability and Statistics team of IECL, at université de Lorraine
Sample-efficient Reinforcement Learning for Real-world Robot Control by Prof. Takamitsu Matsubara
2020-01-21Title: Sample-efficient Reinforcement Learning for Real-world Robot Control
Speaker: Prof. Matsubara Takamitsu
Affiliation: Nara Institute of Science and Technology
[PhD Thesis Presentation] ‐ Mr. Tadashi Kozuno "Efficient and Noise-Tolerant Reinforcement Learning Algorithms via Theoretical Analysis of Gap-Increasing and Softmax Operators"
2020-01-20PhD public presentation