Media Summary: DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Authors: Yair Schiff, Zhong Yi Wan, Jeffrey B. [ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs LiveGraph orchestrates LLMs, embedding models, and

Icml 2024 Graph Geometry Preserving - Detailed Analysis & Overview

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Authors: Yair Schiff, Zhong Yi Wan, Jeffrey B. [ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs LiveGraph orchestrates LLMs, embedding models, and Modern Transformers don't simply fail because they forget: they often fail because their internal representations drift away from the ... Project page (with further readings): Abstract: We divide "intelligence" into multiple dimensions (like ... Qi Shao, Hao Guo, Jiawen Chen, Duxin Chen, Wenwu Yu.

A worked example of constructing a Zimm plot in Microsoft Excel from static light scattering measurements to determine the ...

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[ICML 2024] Graph Geometry-Preserving Autoencoders
ICML 2024 Tutorial -  Graph Learning: Principles, Challenges, and Open Directions
ICML 2024 Tutorial"Machine Learning on Function spaces #NeuralOperators"
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
DySLIM ICML 2024
[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
Yonghyeon Lee - A geometric take on motion manifold learning from demonstration
KDD 2026 - Core-based Hierarchies for Efficient GraphRAG
LiveGraph: A Compound AI System for Evolving Knowledge Graph Construction from Streaming Data
The NEW Geometry Behind AI Reasoning (Princeton, Berkeley)
ICML 2024 Tutorial: Physics of Language Models
KDD 2026 - From Uniform to Learned Graph Priors: Diffusion for Structure Discovery
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[ICML 2024] Graph Geometry-Preserving Autoencoders

[ICML 2024] Graph Geometry-Preserving Autoencoders

A 10 min video for "

ICML 2024 Tutorial -  Graph Learning: Principles, Challenges, and Open Directions

ICML 2024 Tutorial - Graph Learning: Principles, Challenges, and Open Directions

Video for the

ICML 2024 Tutorial"Machine Learning on Function spaces #NeuralOperators"

ICML 2024 Tutorial"Machine Learning on Function spaces #NeuralOperators"

ICML 2024

ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein

ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein

Geometric

DySLIM ICML 2024

DySLIM ICML 2024

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Authors: Yair Schiff, Zhong Yi Wan, Jeffrey B.

[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

Yonghyeon Lee - A geometric take on motion manifold learning from demonstration

Yonghyeon Lee - A geometric take on motion manifold learning from demonstration

A

KDD 2026 - Core-based Hierarchies for Efficient GraphRAG

KDD 2026 - Core-based Hierarchies for Efficient GraphRAG

Jakir Hossain, Ahmet Erdem Sarıyüce.

LiveGraph: A Compound AI System for Evolving Knowledge Graph Construction from Streaming Data

LiveGraph: A Compound AI System for Evolving Knowledge Graph Construction from Streaming Data

LiveGraph orchestrates LLMs, embedding models, and

The NEW Geometry Behind AI Reasoning (Princeton, Berkeley)

The NEW Geometry Behind AI Reasoning (Princeton, Berkeley)

Modern Transformers don't simply fail because they forget: they often fail because their internal representations drift away from the ...

ICML 2024 Tutorial: Physics of Language Models

ICML 2024 Tutorial: Physics of Language Models

Project page (with further readings): https://physics.allen-zhu.com/ Abstract: We divide "intelligence" into multiple dimensions (like ...

KDD 2026 - From Uniform to Learned Graph Priors: Diffusion for Structure Discovery

KDD 2026 - From Uniform to Learned Graph Priors: Diffusion for Structure Discovery

Qi Shao, Hao Guo, Jiawen Chen, Duxin Chen, Wenwu Yu.

EMAC 351: Constructing and Using Zimm Plots with Microsoft Excel

EMAC 351: Constructing and Using Zimm Plots with Microsoft Excel

A worked example of constructing a Zimm plot in Microsoft Excel from static light scattering measurements to determine the ...