Past Events

[Seminar]MLDS Seminar 2023-3 by Mr. Guillaume Houry (Universite Paris-Saclay), Mr. Yuxan Wan (Michigan State Univ. ), Seminar Room L5DE23

2023-06-22
Seminar Room L5DE23, Lab5

Speaker 1: Mr. Guillaume Houry, Ph. D. Student, Universite Paris-Saclay

Title: Average complexity of Persitence Homology computing in Topological Data Analysis

Speaker 2: Yuxuan Wan, Ph. D. Student, Michigan State University

Title: Defense Against Gradient Leakage Attacks via Learning to Obscure Data

[Seminar]MLDS Seminar 2023-2 by Mr. Haoyu Han (Michigan State Univ.), Mr. Weijie Liu (Zhejiang Univ.), Seminar Room L5DE23

2023-06-15
Seminar Room L5D23, Lab5

Speaker 1: Mr. Haoyu Han, Ph. D. Student, Michigan State University

Title: Alternately Optimized Graph Neural Networks

Speaker 2: Mr. Weijie Liu, Ph. D. Student, Zhejiang University

Title: Robust Graph Dictionary Learning

 

 

 

[Seminar] Metric Recovery from Unweighted k-NN Graphs by Ryoma Sato (Kyoto University), Seminar Room L5D23

2023-06-12
Lab5, D23 (Venue changed!!)

Metric Recovery from Unweighted k-NN Graphs by Ryoma Sato (Kyoto University)

[Seminar] MLDS Seminar 2023-1by Mr. Pengfei He(Michigan State Univ.) and Mr. Yuki Takezawa(Kyoto Univ.), Seminar Room L5DE23

2023-06-08
Seminar Room L5D23, Lab5 (previously DE18 Lounge space)

Speaker 1:Mr. Pengfei HE, Ph. D. Student, Michigan State University

 Title: Probabilistic Categorical Adversarial Attack

Speaker 2:Mr. Yuki TAKEZAWA, Ph.D. Student, Kyoto University

 Title: Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence 

[Seminar] Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds, by Dr. Han Bao, Kyoto University

2023-06-07
Lab5, DE18 Lounge space

Assistant Professor Han Bao, Kyoto University, "Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds" 

[Seminar] Expected Expressivity and Gradients of Maxout Networks by Ms. Hanna Tseran, MPI

2023-06-05
Zoom: https://oist.zoom.us/j/95478318970?pwd=NjNUQVJFWmRZRGVOWTBpeFdNRUtyQT09

Ms. Hanna Tseran, MPI, "Expected Expressivity and Gradients of Maxout Networks" 

Lecture series "The quest for mathematical understanding of artificial intelligence", Professor Sanjeev Arora (Princeton University)

2022-11-10
Hybrid (Kyoto University + Zoom: https://oist.zoom.us/webinar/register/WN_rF0S6c5BRrGnsCu1pbKUzQ)

Online Lecture series "The quest for mathematical understanding of artificial intelligence" by Professor Sanjeev Arora, Computer Science at Princeton University.

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