Media Summary: In this video we'll introduce and Define the This video gives a brief overview of my MSc Computer Science dissertation project. This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ...

Sparse A Sparse Hypergraph Neural - Detailed Analysis & Overview

In this video we'll introduce and Define the This video gives a brief overview of my MSc Computer Science dissertation project. This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ... Machine learning is enabling the discovery of dynamical systems models and governing equations purely from measurement data ... Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference (smr 3719) ... Join the Learning on Graphs and Geometry Reading Group: The rapid growth of ...

One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ... A video presentation of Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin, "SSumM: SAME: Sparse and Anchored Model Editing - CVPR 2026 Highlight Higher-order interactions (HOIs) are ubiquitous in real-world networks, such as group discussions on online Q&A platforms, ... Follow updates on Twitter This video describes how to sparsely approximate data in an overcomplete library of ... NIPS 2017 Paper : Hunt For The Unique, Stable,

Learning from structured data is a core machine learning task. Commonly, such data is represented as graphs, which normally ... Attendees: Bradly Alicea, Susan Crawford-Young, Morgan Hough, Shreyas Navsalkar, Utkarsh Tyagi, Barshan Mondal, Varshith ...

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SPARSE: a sparse hypergraph neural network for... - Duc Anh Nguyen - MLCSB - Proceedings - ISMB 2022
Neural networks [8.1] : Sparse coding - definition
Explainable Hypergraph Neural Networks for the Prediction of Dementia Progression
Hypergraph Neural Networks
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Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!
What is Sparsity?
Non-backtracking Spectral Clustering in Sparse Random Hypergraphs
DGL 1.0: Empowering Graph Machine Learning for Everyone | Minjie Wang
Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]
SSumM: Sparse Summarization of Massive Graphs (KDD 2020, Long)
SAME: Sparse and Anchored Model Editing - CVPR 2026 Highlight
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SPARSE: a sparse hypergraph neural network for... - Duc Anh Nguyen - MLCSB - Proceedings - ISMB 2022

SPARSE: a sparse hypergraph neural network for... - Duc Anh Nguyen - MLCSB - Proceedings - ISMB 2022

SPARSE: a sparse hypergraph neural

Neural networks [8.1] : Sparse coding - definition

Neural networks [8.1] : Sparse coding - definition

In this video we'll introduce and Define the

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Explainable Hypergraph Neural Networks for the Prediction of Dementia Progression

Explainable Hypergraph Neural Networks for the Prediction of Dementia Progression

This video gives a brief overview of my MSc Computer Science dissertation project.

Hypergraph Neural Networks

Hypergraph Neural Networks

Hypergraph Neural

A Window  Into LLMs | Sparse Autoencoders Explained

A Window Into LLMs | Sparse Autoencoders Explained

This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ...

Sponsored
Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Machine learning is enabling the discovery of dynamical systems models and governing equations purely from measurement data ...

What is Sparsity?

What is Sparsity?

Here, I define

Non-backtracking Spectral Clustering in Sparse Random Hypergraphs

Non-backtracking Spectral Clustering in Sparse Random Hypergraphs

Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference | (smr 3719) ...

DGL 1.0: Empowering Graph Machine Learning for Everyone | Minjie Wang

DGL 1.0: Empowering Graph Machine Learning for Everyone | Minjie Wang

Join the Learning on Graphs and Geometry Reading Group: https://hannes-stark.com/logag-reading-group The rapid growth of ...

Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]

Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]

One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ...

SSumM: Sparse Summarization of Massive Graphs (KDD 2020, Long)

SSumM: Sparse Summarization of Massive Graphs (KDD 2020, Long)

A video presentation of Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin, "SSumM:

SAME: Sparse and Anchored Model Editing - CVPR 2026 Highlight

SAME: Sparse and Anchored Model Editing - CVPR 2026 Highlight

SAME: Sparse and Anchored Model Editing - CVPR 2026 Highlight

Hypergraph Neural Networks: An In-depth and Step-By-Step Guide (Teaser)

Hypergraph Neural Networks: An In-depth and Step-By-Step Guide (Teaser)

Higher-order interactions (HOIs) are ubiquitous in real-world networks, such as group discussions on online Q&A platforms, ...

CODE to Build A Hypergraph & HyperGraph Transformers

CODE to Build A Hypergraph & HyperGraph Transformers

Complete code to build your

Sparse Representation (for classification) with examples!

Sparse Representation (for classification) with examples!

Follow updates on Twitter @eigensteve This video describes how to sparsely approximate data in an overcomplete library of ...

NIPS 2017 Paper : Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

NIPS 2017 Paper : Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

NIPS 2017 Paper : Hunt For The Unique, Stable,

HEAT: Hyperedge Attention Networks

HEAT: Hyperedge Attention Networks

Learning from structured data is a core machine learning task. Commonly, such data is represented as graphs, which normally ...

DevoWorm (2026, #11): Spatio-temporal AI and Graph Learning, ABMs to GNNs, Dynamic Hypergraphs

DevoWorm (2026, #11): Spatio-temporal AI and Graph Learning, ABMs to GNNs, Dynamic Hypergraphs

Attendees: Bradly Alicea, Susan Crawford-Young, Morgan Hough, Shreyas Navsalkar, Utkarsh Tyagi, Barshan Mondal, Varshith ...

[Sparse'25] Hyperreal Specifications for Continuous Sparse Data Computations

[Sparse'25] Hyperreal Specifications for Continuous Sparse Data Computations

Hyperreal Specifications for Continuous

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