Lecture 3: Sheaf Neural Networks - Cristian Bodnar
Michael Bronstein
Lecture 3: Sheaf Neural Networks - Cristian Bodnar
1:28:36
Prerequisites II: Topology - Cristian Bodnar
Michael Bronstein
Prerequisites II: Topology - Cristian Bodnar
22:57
Lecture 6: Gauge-equivariant Mesh CNN - Pim de Haan
Michael Bronstein
Lecture 6: Gauge-equivariant Mesh CNN - Pim de Haan
1:26:00
Lecture 7: From Equivariance to Naturality - Pim de Haan
Michael Bronstein
Lecture 7: From Equivariance to Naturality - Pim de Haan
1:28:03
Lecture 5: Equivariant CNNs II (Riemannian manifolds) - Maurice Weiler
Michael Bronstein
Lecture 5: Equivariant CNNs II (Riemannian manifolds) - Maurice Weiler
1:27:20
Prerequisites IV: Category Theory - Pim de Haan
Michael Bronstein
Prerequisites IV: Category Theory - Pim de Haan
21:10
Prerequisites III: Manifolds & Fiber Bundles - Maurice Weiler
Michael Bronstein
Prerequisites III: Manifolds & Fiber Bundles - Maurice Weiler
42:07
Lecture 4: Equivariant CNNs I (Euclidean Spaces) - Maurice Weiler
Michael Bronstein
Lecture 4: Equivariant CNNs I (Euclidean Spaces) - Maurice Weiler
1:31:51
Lecture 8: Curvature & Oversquashing in GNNs - Francesco Di Giovanni
Michael Bronstein
Lecture 8: Curvature & Oversquashing in GNNs - Francesco Di Giovanni
1:28:14
Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler
Michael Bronstein
Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler
1:10:50
Lecture 9: GNNs as Dynamic Systems - Francesco Di Giovanni
Michael Bronstein
Lecture 9: GNNs as Dynamic Systems - Francesco Di Giovanni
1:34:42
Lecture 10: What's Next? - Michael Bronstein
Michael Bronstein
Lecture 10: What's Next? - Michael Bronstein
1:30:03
Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein
Michael Bronstein
Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein
1:34:14
Lecture 2: Topological Message Passing - Cristian Bodnar
Michael Bronstein
Lecture 2: Topological Message Passing - Cristian Bodnar
1:28:35
AMMI 2022 Course "Geometric Deep Learning" - Seminar 1 (Physics-based GNNs) - Francesco Di Giovanni
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Seminar 1 (Physics-based GNNs) - Francesco Di Giovanni
1:12:39
AMMI 2022 Course "Geometric Deep Learning" - Seminar 5 (AlphaFold) - Russ Bates
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Seminar 5 (AlphaFold) - Russ Bates
55:50
AMMI 2022 Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna
53:37
AMMI 2022 Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković
59:12
AMMI 2022 Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna
1:05:21
AMMI 2022 Course "Geometric Deep Learning" - Seminar 2 (Subgraph GNNs) - Fabrizio Frasca
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Seminar 2 (Subgraph GNNs) - Fabrizio Frasca
1:00:24
AMMI 2022 Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen
1:11:51
AMMI 2022 Course "Geometric Deep Learning" - Seminar 4 (Neural Sheaf Diffusion) - Cristian Bodnar
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Seminar 4 (Neural Sheaf Diffusion) - Cristian Bodnar
52:51
AMMI 2022 Course "Geometric Deep Learning" - Seminar 3 (Equivariance in ML) - Geordie Williamson
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Seminar 3 (Equivariance in ML) - Geordie Williamson
1:01:52
AMMI 2022 Course "Geometric Deep Learning" - Lecture 9 (Manifolds) - Michael Bronstein
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 9 (Manifolds) - Michael Bronstein
1:14:01
AMMI 2022 Course "Geometric Deep Learning" - Lecture 2 (Learning in High Dimensions) - Joan Bruna
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 2 (Learning in High Dimensions) - Joan Bruna
1:19:40
AMMI 2022 Course "Geometric Deep Learning" - Lecture 3 (Geometric Priors I) - Taco Cohen
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 3 (Geometric Priors I) - Taco Cohen
56:48
AMMI 2022 Course "Geometric Deep Learning" - Lecture 12 (Applications & Trends) - Michael Bronstein
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 12 (Applications & Trends) - Michael Bronstein
1:11:00
AMMI 2022 Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets) - Petar Veličković
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets) - Petar Veličković
1:01:37
AMMI 2022 Course "Geometric Deep Learning" - Lecture 11 (Beyond Groups) - Petar Veličković
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 11 (Beyond Groups) - Petar Veličković
1:15:33
AMMI 2022 Course "Geometric Deep Learning" - Lecture 10 (Gauges) - Taco Cohen
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 10 (Gauges) - Taco Cohen
46:54
AMMI 2022 Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein
Michael Bronstein
AMMI 2022 Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein
1:14:59
AMMI Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna
1:02:29
AMMI Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets I) - Petar Veličković
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets I) - Petar Veličković
1:03:53
AMMI Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein
59:12
AMMI Course "Geometric Deep Learning" - Lecture 10 (Gauges) - Taco Cohen
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 10 (Gauges) - Taco Cohen
1:03:52
AMMI Course "Geometric Deep Learning" - Lecture 3 (Geometric Priors I) - Taco Cohen
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 3 (Geometric Priors I) - Taco Cohen
1:02:04
AMMI Course "Geometric Deep Learning" - Lecture 11 (Sequences & Time Warping) - Petar Veličković
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 11 (Sequences & Time Warping) - Petar Veličković
51:00
AMMI Course "Geometric Deep Learning" - Lecture 2 (Learning in High Dimensions) - Joan Bruna
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 2 (Learning in High Dimensions) - Joan Bruna
1:00:10
AMMI Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna
1:06:52
AMMI Course "Geometric Deep Learning" - Lecture 9 (Manifolds & Meshes) - Michael Bronstein
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 9 (Manifolds & Meshes) - Michael Bronstein
1:22:43
AMMI Course "Geometric Deep Learning" - Lecture 12 (Applications & Conclusions) - Michael Bronstein
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 12 (Applications & Conclusions) - Michael Bronstein
58:12
AMMI Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković
1:03:09
AMMI Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen
Michael Bronstein
AMMI Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen
1:05:44
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
Michael Bronstein
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
38:27