Media Summary: You can find more information including the the course syllabus and suggested readings at ... You wouldn't normally fiddle with weights of a state-of-the-art deep network after weeks of training. But why not? In this ECCV ... Rewriting a Deep Generative Network, presented at ECCV 2020 (oral). In this paper, we show how a deep generative network ...

David Bau Direct Model Editing - Detailed Analysis & Overview

You can find more information including the the course syllabus and suggested readings at ... You wouldn't normally fiddle with weights of a state-of-the-art deep network after weeks of training. But why not? In this ECCV ... Rewriting a Deep Generative Network, presented at ECCV 2020 (oral). In this paper, we show how a deep generative network ... CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ... What if you could crack open an AI tool the same way you could disassemble your computer or phone? That's the goal for The AI Interpretability reading group meets roughly every two weeks to discuss current research in ML/AI Interpretability, with a ...

This week we move beyond analyzing fully-trained Presentation title: Explainable AI, Creativity, and Human-Machine Collaboration What is the role of human agency in a world of ...

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David Bau - Direct Model Editing and Mechanistic Interpretability
Direct Model Editing - David Bau
David Bau: Interpretability and model editing
Rewriting a Deep Generative Model (Preview)
Rewriting a Deep Generative Model (ECCV 2020)
ROME: Locating and Editing Factual Associations in GPT with David Bau
Neural Mechanics Week 1: LLM Foundations and Logit Lens with David Bau
How Does a Generative Neural Network Work Inside? David Bau, MIT
Introduction to Mechanistic Interpretability with David Bau
David Bau on How Artificial Intelligence Works
Public AI Seminar - David Bau
David Bau—Editing Facts in GPT, Interpretability
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David Bau - Direct Model Editing and Mechanistic Interpretability

David Bau - Direct Model Editing and Mechanistic Interpretability

BlackboxNLP 2022 keynote by

Direct Model Editing - David Bau

Direct Model Editing - David Bau

Direct Model Editing - David Bau

Sponsored
David Bau: Interpretability and model editing

David Bau: Interpretability and model editing

You can find more information including the the course syllabus and suggested readings at ...

Rewriting a Deep Generative Model (Preview)

Rewriting a Deep Generative Model (Preview)

You wouldn't normally fiddle with weights of a state-of-the-art deep network after weeks of training. But why not? In this ECCV ...

Rewriting a Deep Generative Model (ECCV 2020)

Rewriting a Deep Generative Model (ECCV 2020)

Rewriting a Deep Generative Network, presented at ECCV 2020 (oral). In this paper, we show how a deep generative network ...

Sponsored
ROME: Locating and Editing Factual Associations in GPT with David Bau

ROME: Locating and Editing Factual Associations in GPT with David Bau

David Bau

Neural Mechanics Week 1: LLM Foundations and Logit Lens with David Bau

Neural Mechanics Week 1: LLM Foundations and Logit Lens with David Bau

David Bau

How Does a Generative Neural Network Work Inside? David Bau, MIT

How Does a Generative Neural Network Work Inside? David Bau, MIT

In this presentation,

Introduction to Mechanistic Interpretability with David Bau

Introduction to Mechanistic Interpretability with David Bau

CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ...

David Bau on How Artificial Intelligence Works

David Bau on How Artificial Intelligence Works

David Bau

Public AI Seminar - David Bau

Public AI Seminar - David Bau

Part of the Public AI Seminar (https://publicai.network/seminar)

David Bau—Editing Facts in GPT, Interpretability

David Bau—Editing Facts in GPT, Interpretability

David Bau

David Bau PhD Defense

David Bau PhD Defense

Dissection of Deep Neural Networks -

Model Editing: Part 1 - Where is the Knowledge?

Model Editing: Part 1 - Where is the Knowledge?

The Transformer

Model Editing: Part 2 - How does it create predictions?

Model Editing: Part 2 - How does it create predictions?

The Transformer

The Neuroscience of AI: David Bau on the Need to Explore the Inner Workings of AI

The Neuroscience of AI: David Bau on the Need to Explore the Inner Workings of AI

What if you could crack open an AI tool the same way you could disassemble your computer or phone? That's the goal for

Neural Mechanics Week 2: Concepts as Vectors and Steering with David Bau

Neural Mechanics Week 2: Concepts as Vectors and Steering with David Bau

David Bau

EleutherAI Interpretability Reading Group 220226: Locating and editing factual knowledge in GPT

EleutherAI Interpretability Reading Group 220226: Locating and editing factual knowledge in GPT

The AI Interpretability reading group meets roughly every two weeks to discuss current research in ML/AI Interpretability, with a ...

Neural Mechanics Week 9: Training Dynamics, Patchscopes & Human Understanding with David Bau

Neural Mechanics Week 9: Training Dynamics, Patchscopes & Human Understanding with David Bau

This week we move beyond analyzing fully-trained

Allen School Colloquium: David Bau (MIT)

Allen School Colloquium: David Bau (MIT)

Presentation title: Explainable AI, Creativity, and Human-Machine Collaboration What is the role of human agency in a world of ...

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