Media Summary: Authors: Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao Description: Motivated by ... In this episode, we dive deep into the intersection of differential IMA Data Science Seminar Speaker: Melanie Weber (Harvard University) "Exploiting

Geometric Structure Based And Regularized - Detailed Analysis & Overview

Authors: Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao Description: Motivated by ... In this episode, we dive deep into the intersection of differential IMA Data Science Seminar Speaker: Melanie Weber (Harvard University) "Exploiting Speaker: Yonghyeon Lee from Seoul National University Code:  ... Nathan Srebro, TTI Chicago Representation Learning Instructor: Govind Menon (Brown University) Date: February 10, 2026 Mathematical AI Seminar: ...

The Turing Lectures: The Intersection of Mathematics, Statistics and Computation - Professor Andrea Bertozzi: " Analysis & Mathematical Physics Topic: Branched In this talk, we will show a connection between models in Valence Portal is the home of the AI for drug discovery community. Join here for more details on this talk and to connect with the ... New Deep Learning Techniques 2018 "LDMnet: low dimensional manifold Optimization, Complexity and Invariant Theory Topic: The dynamics of

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Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery
Unlocking Hidden Geometry in AI: Complex VAEs & Kähler Structure Explained
Exploiting geometric structure in matrix-valued optimization – Melanie Weber
Geometric Representation of Structured Extensions in Ergodic Theory - Henrik Kreidler
Regularized Autoencoders for Isometric Representation Learning (ICLR 2022)
Geometry, Optimization and Generalization in Multilayer Networks
Towards a geometric theory of deep learning
Professor Andrea Bertozzi: "Geometric Graph-Based Methods for High Dimensional Data"
Branched Regularity Theorems for Stable Minimal Hypersurfaces Near Classical Cones...- Paul Minter
[24/02/2023] Y. Bruned - Geometric embedding for Regularity Structures
gRNAde: Geometric Deep Learning for 3D RNA inverse design | Chaitanya K. Joshi
Wei Zhu: "LDMnet: low dimensional manifold regularized neural networks"
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Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery

Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery

Authors: Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao Description: Motivated by ...

Unlocking Hidden Geometry in AI: Complex VAEs & Kähler Structure Explained

Unlocking Hidden Geometry in AI: Complex VAEs & Kähler Structure Explained

In this episode, we dive deep into the intersection of differential

Exploiting geometric structure in matrix-valued optimization – Melanie Weber

Exploiting geometric structure in matrix-valued optimization – Melanie Weber

IMA Data Science Seminar Speaker: Melanie Weber (Harvard University) "Exploiting

Geometric Representation of Structured Extensions in Ergodic Theory - Henrik Kreidler

Geometric Representation of Structured Extensions in Ergodic Theory - Henrik Kreidler

Special Year Research Seminar Topic:

Regularized Autoencoders for Isometric Representation Learning (ICLR 2022)

Regularized Autoencoders for Isometric Representation Learning (ICLR 2022)

Speaker: Yonghyeon Lee from Seoul National University Code: https://github.com/Gabe-YHLee/IRVAE-public #deeplearning ...

Geometry, Optimization and Generalization in Multilayer Networks

Geometry, Optimization and Generalization in Multilayer Networks

Nathan Srebro, TTI Chicago Representation Learning https://simons.berkeley.edu/talks/nathan-srebro-bartom-2017-3-27.

Towards a geometric theory of deep learning

Towards a geometric theory of deep learning

Instructor: Govind Menon (Brown University) Date: February 10, 2026 Mathematical AI Seminar: ...

Professor Andrea Bertozzi: "Geometric Graph-Based Methods for High Dimensional Data"

Professor Andrea Bertozzi: "Geometric Graph-Based Methods for High Dimensional Data"

The Turing Lectures: The Intersection of Mathematics, Statistics and Computation - Professor Andrea Bertozzi: "

Branched Regularity Theorems for Stable Minimal Hypersurfaces Near Classical Cones...- Paul Minter

Branched Regularity Theorems for Stable Minimal Hypersurfaces Near Classical Cones...- Paul Minter

Analysis & Mathematical Physics Topic: Branched

[24/02/2023] Y. Bruned - Geometric embedding for Regularity Structures

[24/02/2023] Y. Bruned - Geometric embedding for Regularity Structures

In this talk, we will show a connection between models in

gRNAde: Geometric Deep Learning for 3D RNA inverse design | Chaitanya K. Joshi

gRNAde: Geometric Deep Learning for 3D RNA inverse design | Chaitanya K. Joshi

Valence Portal is the home of the AI for drug discovery community. Join here for more details on this talk and to connect with the ...

Wei Zhu: "LDMnet: low dimensional manifold regularized neural networks"

Wei Zhu: "LDMnet: low dimensional manifold regularized neural networks"

New Deep Learning Techniques 2018 "LDMnet: low dimensional manifold

The dynamics of regularized flows on convex bodies -James Lee

The dynamics of regularized flows on convex bodies -James Lee

Optimization, Complexity and Invariant Theory Topic: The dynamics of