YoVDO

Generalization Courses

Mehler's Formula, Branching Processes, and Compositional Kernels of Deep Neural Networks
VinAI via YouTube
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective - Oral Session 1
Uncertainty in Artificial Intelligence via YouTube
Human-in-the-Loop Mixup: Aligning Synthetic Data with Human Perception - Oral Session 2
Uncertainty in Artificial Intelligence via YouTube
Reliable AI: From Applied Harmonic Analysis to Quantum Computing
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
Next-generation Frameworks for AI and Science, and Trust - Lecture 8
MICDE University of Michigan via YouTube
Reliable AI: Successes, Challenges, and Limitations
Erwin Schrödinger International Institute for Mathematics and Physics (ESI) via YouTube
Generalizing a Calculus 2 Integral
Michael Penn via YouTube
Overfitting: Benign, Tempered and Harmful - Lecture on Machine Learning Regularization
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Can Generalized Divergences Help for Invariant Neural Networks?
Conference GSI via YouTube
Early Alignment in Two-Layer Networks Training: A Two-Edged Sword
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
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