Lisa Schut - RankMe

17 papers A* 2A 2B 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Do Multilingual LLMs Think In English? CoRR Lisa Schut, Yarin Gal, Sebastian Farquhar
2025	J	`jnl`	Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors. Trans. Mach. Learn. Res. Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal
2025	B	`conf`	Exploring resource-rational planning under time pressure in online chess. CogSci Ionatan Kuperwajs, Evan M. Russek, Lisa Schut, Yotam Sagiv, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths
2025	A	`conf`	Hindsight Merging: Diverse Data Generation with Language Models. UAI Veniamin Veselovsky, Benedikt Stroebl, Gianluca M. Bencomo, Dilip Arumugam, Lisa Schut, Arvind Narayanan, Thomas L. Griffiths
2025	B	`conf`	Learning in online chess increases with more time spent thinking and diversity of experience. CogSci Lisa Schut, Evan M. Russek, Ionatan Kuperwajs, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths
2024	J	`jnl`	Explaining Explainability: Understanding Concept Activation Vectors. CoRR Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal
2024	J	`jnl`	Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs. CoRR Jannik Kossen, Jiatong Han, Muhammed Razzak, Lisa Schut, Shreshth A. Malik, Yarin Gal
2023	J	`jnl`	Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero. CoRR Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim
2023	J	`jnl`	Diversifying AI: Towards Creative Chess with AlphaZero. CoRR Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh
2021	J	`jnl`	DeDUCE: Generating Counterfactual Explanations Efficiently. CoRR Benedikt Höltgen, Lisa Schut, Jan Markus Brauner, Yarin Gal
2021	A	`conf`	Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties. AISTATS Lisa Schut, Oscar Key, Rory McGrath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal
2021	J	`jnl`	Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties. CoRR Lisa Schut, Oscar Key, Rory McGrath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal
2021	A*	`conf`	Speedy Performance Estimation for Neural Architecture Search. NeurIPS Robin Ru, Clare Lyle, Lisa Schut, Miroslav Fil, Mark van der Wilk, Yarin Gal
2020	A*	`conf`	A Bayesian Perspective on Training Speed and Model Selection. NeurIPS Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
2020	J	`jnl`	A Bayesian Perspective on Training Speed and Model Selection. CoRR Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
2020	J	`jnl`	Capsule Networks - A Probabilistic Perspective. CoRR Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk
2020	J	`jnl`	Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search. CoRR Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal