Past Events
[Seminar]MLDS Seminar 2023-3 by Mr. Guillaume Houry (Universite Paris-Saclay), Mr. Yuxan Wan (Michigan State Univ. ), Seminar Room L5DE23
2023-06-22Speaker 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
2023-06-15Speaker 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
2023-06-12Metric 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
2023-06-08Speaker 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
2023-06-07Assistant 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
2023-06-05Ms. 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)
2022-11-10Online Lecture series "The quest for mathematical understanding of artificial intelligence" by Professor Sanjeev Arora, Computer Science at Princeton University.
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