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Media Summary: Prof. Dr. Hoshin V. Gupta, a leading figure in hydrology and systems methods, is recognized for his work on reconciling models ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Part of the Expeditions in Experiential AI Series at IEAI. Speaker: Jennifer G. Dy, Director of AI Faculty. Recorded on November 10, ...

On Machine Learning Interpretable Representations - Detailed Analysis & Overview

Prof. Dr. Hoshin V. Gupta, a leading figure in hydrology and systems methods, is recognized for his work on reconciling models ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Part of the Expeditions in Experiential AI Series at IEAI. Speaker: Jennifer G. Dy, Director of AI Faculty. Recorded on November 10, ... Hi Everyone, In this session Hoshin Gupta, University of Arizona Regents Professor, presents his talk " Recent progress of deep neural networks in computer vision and Tea Talk November 28, 2025 As the capabilities of large language models (LLMs) grow, so too does the need to interpret the ...

Install NLP Libraries Register for NLP Summit 2023: In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... To address this problem, a new line of research has emerged that focuses on developing Authors: Tian Bai (Temple University); Shanshan Zhang (Temple University); Brian Egleston (Fox Chase Cancer Center); ...

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On Machine Learning “Interpretable” Representations of Dynamical Geoscientific Systems
What is interpretability?
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Jonathan Hersh - Does Interpretable Machine Learning *Really* Matter?
Concept based models for interpretability and learning representations
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On Machine Learning “Interpretable” Representations of Dynamical Geoscientific Systems

On Machine Learning “Interpretable” Representations of Dynamical Geoscientific Systems

Prof. Dr. Hoshin V. Gupta, a leading figure in hydrology and systems methods, is recognized for his work on reconciling models ...

What is interpretability?

What is interpretability?

A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...

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Learning Interpretable Models on Complex Medical Data

Learning Interpretable Models on Complex Medical Data

Part of the Expeditions in Experiential AI Series at IEAI. Speaker: Jennifer G. Dy, Director of AI Faculty. Recorded on November 10, ...

Jonathan Hersh - Does Interpretable Machine Learning *Really* Matter?

Jonathan Hersh - Does Interpretable Machine Learning *Really* Matter?

Does

Concept based models for interpretability and learning representations

Concept based models for interpretability and learning representations

Interpretable

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Session 44 - On (Machine) Learning “Interpretable” Representations of Dynamical Systems

Session 44 - On (Machine) Learning “Interpretable” Representations of Dynamical Systems

Hi Everyone, In this session Hoshin Gupta, University of Arizona Regents Professor, presents his talk "

Interpretable vs Explainable Machine Learning

Interpretable vs Explainable Machine Learning

Interpretable

Interpretable Representation Learning for Visual Intelligence – Bolei Zhou of MIT

Interpretable Representation Learning for Visual Intelligence – Bolei Zhou of MIT

Recent progress of deep neural networks in computer vision and

Interpretability in Machine Learning | Machine Learning Interpretability

Interpretability in Machine Learning | Machine Learning Interpretability

In this video, we explore the concept of

25. Interpretability

25. Interpretability

MIT 6.S897

Causal Representation Learning: A Natural Fit for Mechanistic Interpretability

Causal Representation Learning: A Natural Fit for Mechanistic Interpretability

Tea Talk November 28, 2025 As the capabilities of large language models (LLMs) grow, so too does the need to interpret the ...

Concept based models for interpretability and learning representations (Sonia Laguna)

Concept based models for interpretability and learning representations (Sonia Laguna)

Interpretable

Patient Similarity through Representation Learning from Medical Records

Patient Similarity through Representation Learning from Medical Records

Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for NLP Summit 2023: https://www.nlpsummit.org/#register ...

Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability

Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability

In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for

Interpretability: Understanding how AI models think

Interpretability: Understanding how AI models think

What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...

Manipulating and Measuring Model Interpretability

Manipulating and Measuring Model Interpretability

To address this problem, a new line of research has emerged that focuses on developing

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Authors: Tian Bai (Temple University); Shanshan Zhang (Temple University); Brian Egleston (Fox Chase Cancer Center); ...

Interpretable Representations and Neuro-symbolic Methods in Deep Learning | Jan Stühmer

Interpretable Representations and Neuro-symbolic Methods in Deep Learning | Jan Stühmer

Abstract Current state-of-the-art

AWS re:Invent 2020: Interpretability and explainability in machine learning

AWS re:Invent 2020: Interpretability and explainability in machine learning

As

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