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Panagiotis Tigas

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Oxford University

Differentiable Multi-Target Causal Bayesian Experimental Design

Feb 21, 2023
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer

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Modelling non-reinforced preferences using selective attention

Jul 25, 2022
Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa

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Interventions, Where and How? Experimental Design for Causal Models at Scale

Mar 03, 2022
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer

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Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

Nov 03, 2021
Andrew Jesson, Panagiotis Tigas, Joost van Amersfoort, Andreas Kirsch, Uri Shalit, Yarin Gal

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Exploration and preference satisfaction trade-off in reward-free learning

Jun 08, 2021
Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl Friston

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Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition

Feb 02, 2021
Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt

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Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search

Jan 19, 2021
Panagiotis Tigas, Tyson Hosmer

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Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

Jun 26, 2020
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal

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Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning

May 22, 2019
Zain ul Abi Din, Panagiotis Tigas, Samuel T. King, Benjamin Livshits

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