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59:29

Zeynep Akata: Learning Decision Trees Recurrently through Communication

This is the live stream of the “Machine Learning in Science” Conference 2020. The conference is held by the Cluster of Excellence “Machine Learning: New Perspectives for Science”, University of Tübingen, Germany. Conference program: https://uni-tuebingen.de/en/165313 Follow @ml4science on twitter for latest updates. Source of this “Tübingen Machine Learning” AI Video
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02:28:53

Neural Compression — Lecture 4 — Random Variables and Autoregressive Models

Fourth week of the course “Data Compression With Deep Probabilistic Models” by Prof. Robert Bamler at University of Tübingen (summer term of 2021). These videos were deliberately recorded at a calm pace. Click the cogwheel in the lower right corner of the video player to adjust playback speed to your personal preference. Viewers who are […]
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50:17

(S) Statistics 10: The bootstrap

Part of the Course “Mathematics for Machine Learning”, Winter Term 2020/21, Ulrike von Luxburg, University of Tübingen Source of this “Tübingen Machine Learning” AI Video
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3
33:03

Self-Driving Cars – Lecture 4.1 (Reinforcement Learning: Markov Decision Processes)

Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/ Source of this “Tübingen Machine Learning” AI Video
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6
10:12

Self-Driving Cars – Lecture 12.3 (Decision Making and Planning: Behavior Planning)

Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/ Source of this “Tübingen Machine Learning” AI Video
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34
01:02:50

Neural Compression — Lecture 1 — Problem Setting & Symbol Codes

First full lecture of the course “Data Compression With Deep Probabilistic Models” by Prof. Robert Bamler at University of Tübingen (summer term of 2021). These videos were deliberately recorded at a calm pace. Click the cogwheel in the lower right corner of the video player to adjust playback speed to your personal preference. Playlist for […]
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6
42:06

Peter Dayan: Modelling and Manipulating Behaviour Using Recurrent Networks

This is the live stream of the “Machine Learning in Science” Conference 2020. The conference is held by the Cluster of Excellence “Machine Learning: New Perspectives for Science”, University of Tübingen, Germany. Conference program: https://uni-tuebingen.de/en/165313 Follow @ml4science on twitter for latest updates. Source of this “Tübingen Machine Learning” AI Video
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6
38:05

Self-Driving Cars – Lecture 7.3 (Odometry, SLAM and Localization: Localization)

Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/ Source of this “Tübingen Machine Learning” AI Video
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131
01:36:00

Probabilistic ML – Lecture 4 – Sampling

This is the fourth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. Time-stamped slides available at https://uni-tuebingen.de/en/180804. Contents: * Monte Carlo Methods * Moments and Expectations * Rejection and Importance Sampling © Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0 […]