Alert button
Picture for Lisa Schut

Lisa Schut

Alert button

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero

Oct 25, 2023
Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim

Viaarxiv icon

Diversifying AI: Towards Creative Chess with AlphaZero

Aug 29, 2023
Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh

Figure 1 for Diversifying AI: Towards Creative Chess with AlphaZero
Figure 2 for Diversifying AI: Towards Creative Chess with AlphaZero
Figure 3 for Diversifying AI: Towards Creative Chess with AlphaZero
Figure 4 for Diversifying AI: Towards Creative Chess with AlphaZero
Viaarxiv icon

DeDUCE: Generating Counterfactual Explanations Efficiently

Nov 29, 2021
Benedikt Höltgen, Lisa Schut, Jan M. Brauner, Yarin Gal

Figure 1 for DeDUCE: Generating Counterfactual Explanations Efficiently
Figure 2 for DeDUCE: Generating Counterfactual Explanations Efficiently
Figure 3 for DeDUCE: Generating Counterfactual Explanations Efficiently
Figure 4 for DeDUCE: Generating Counterfactual Explanations Efficiently
Viaarxiv icon

Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties

Mar 16, 2021
Lisa Schut, Oscar Key, Rory McGrath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal

Figure 1 for Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Figure 2 for Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Figure 3 for Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Figure 4 for Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Viaarxiv icon

A Bayesian Perspective on Training Speed and Model Selection

Oct 27, 2020
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk

Figure 1 for A Bayesian Perspective on Training Speed and Model Selection
Figure 2 for A Bayesian Perspective on Training Speed and Model Selection
Figure 3 for A Bayesian Perspective on Training Speed and Model Selection
Figure 4 for A Bayesian Perspective on Training Speed and Model Selection
Viaarxiv icon

Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search

Jun 08, 2020
Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal

Figure 1 for Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search
Figure 2 for Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search
Figure 3 for Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search
Figure 4 for Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search
Viaarxiv icon

Capsule Networks -- A Probabilistic Perspective

Apr 07, 2020
Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk

Figure 1 for Capsule Networks -- A Probabilistic Perspective
Figure 2 for Capsule Networks -- A Probabilistic Perspective
Figure 3 for Capsule Networks -- A Probabilistic Perspective
Figure 4 for Capsule Networks -- A Probabilistic Perspective
Viaarxiv icon