Panagiotis Tigas

According to our database, Panagiotis Tigas authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep Bayesian Active Learning for Preference Modeling in Large Language Models.

Luckeciano C. Melo, Panagiotis Tigas, Alessandro Abate, Yarin Gal

CoRR, 2024

Amortized Active Causal Induction with Deep Reinforcement Learning.

Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster

CoRR, 2024

Challenges and Considerations in the Evaluation of Bayesian Causal Discovery.

Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Differentiable Multi-Target Causal Bayesian Experimental Design.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Modelling non-reinforced preferences using selective attention.

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

CoRR, 2022

Global geomagnetic perturbation forecasting using Deep Learning.

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

CoRR, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

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

Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston

CoRR, 2021

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition.

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

CoRR, 2021

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

Panagiotis Tigas, Tyson Hosmer

CoRR, 2021

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.

Andrey Malinin, Neil Band, Yarin Gal, Mark J. F. Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders.

Tim Murray Browne, Panagiotis Tigas

Proceedings of the 21th International Conference on New Interfaces for Musical Expression, 2021

2020

PERCIVAL: Making In-Browser Perceptual Ad Blocking Practical with Deep Learning.

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

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

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

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

Proceedings of the 37th International Conference on Machine Learning, 2020

2014

The Cave of Sounds: An Interactive Installation Exploring How We Create Music Together.

Tim Murray Browne, Dom Aversano, Susanna Garcia, Wallace Hobbes, Daniel Lopez, Tadeo Sendon, Panagiotis Tigas, Kacper Ziemianin, Duncan Chapman

Proceedings of the 14th International Conference on New Interfaces for Musical Expression, 2014