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An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
April 10, 2021
ICERM
Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization
Presenter
- Nadav Cohen
March 31, 2021
IPAM
Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning
Presenter
- Peter Stone
July 30, 2020
IAS
Learning-based Model Predictive Control - Towards Safe Learning in Control
Presenter
- Melanie Zeilinger
February 26, 2020
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Automatic Feature Extraction from Hyperspectral Imagery using Deep Recurrent Neural Networks
Presenter
- Joshua Agar
September 25, 2019
IPAM
Wasserstein Information Geometry for Learning from Data (Part 2/2)
Presenter
- Guido Montufar
March 14, 2019
IPAM
Wasserstein Information Geometry for Learning from Data (Part 1/2)
Presenter
- Guido Montufar
March 14, 2019
IPAM
Introductory Workshop: Derived Algebraic Geometry And Birational Geometry And Moduli Spaces - DAG III: examples
Presenter
- Benjamin Antieau
February 4, 2019
SLMath
Introductory Workshop: Derived Algebraic Geometry And Birational Geometry And Moduli Spaces - DAG II: moduli of objects in derived categories
Presenter
- Benjamin Antieau
February 1, 2019
SLMath