33:47
Patrick Heimbach: Differentiable Programming For Hybrid Data Assimilation & Machine Learning
STAMPS@CMU Research Center
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1:01:26
Dr. Eviatar Bach | Learning probabilistic filters for data assimilation
INI Seminar Room 1
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37:42
Machine Learning 10 - Differentiable Programming | Stanford CS221: AI (Autumn 2021)
Stanford Online
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32:41
39:30
Double Machine Learning for Causal and Treatment Effects
Becker Friedman Institute University of Chicago
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5:01
Highlights: Inventors of Transformer, BDH, and LNNs debate the Post-Transformer Era
Pathway (pathway.com)
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26:52
2:05:56
Patrick Huembeli "Interpretability in (quantum) machine learning with the Hessian"
Centre for AMO Physics at University of Warsaw
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1:00:47
Philipp Bach and Sven Klaassen: Tutorial on DoubleML for double machine learning in Python and R
Online Causal Inference Seminar
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12:19
42:38
LayerOne 2026 - SPECTRA: Semantic Pattern Extraction for Scalable Malware Detection (Mohsen Ahmadi)
LayerOne Information Security Conference
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11:30
Differentiable Laplacian Matrix Guided Superpixel Segmentation
Embedded Systems and Deep Learning
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6:09
1:23:42