Panagiotis Tigas
Cited by
Cited by
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
A Filos, P Tigas, R McAllister, N Rhinehart, S Levine, Y Gal
ICML 2020, 2020
Shifts: A dataset of real distributional shift across multiple large-scale tasks
A Malinin, N Band, G Chesnokov, Y Gal, MJF Gales, A Noskov, ...
arXiv preprint arXiv:2107.07455, 2021
PERCIVAL: Making In-Browser Perceptual Ad Blocking Practical with Deep Learning
Z Abi Din, P Tigas, ST King, B Livshits
2020 USENIX Annual Technical Conference (USENIX ATC 20), 387-400, 2020
Exploration and preference satisfaction trade-off in reward-free learning
N Sajid, P Tigas, A Zakharov, Z Fountas, K Friston
arXiv preprint arXiv:2106.04316, 2021
The Cave Of Sounds: An Interactive Installation Exploring How We Create Music Together
T Murray-Browne, D Aversano, S Garcia, W Hobbes, D Lopez, T Sendon, ...
NIME, 2014
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders
T Murray-Browne, P Tigas
arXiv preprint arXiv:2106.08867, 2021
Causal-BALD: Deep Bayesian active learning of outcomes to infer treatment-effects from observational data
A Jesson, P Tigas, J van Amersfoort, A Kirsch, U Shalit, Y Gal
Advances in Neural Information Processing Systems 34, 30465-30478, 2021
Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search
P Tigas, T Hosmer
Workshop on Machine Learning for Creativity and Design at the 34rd …, 2020
Interventions, where and how? experimental design for causal models at scale
P Tigas, Y Annadani, A Jesson, B Schölkopf, Y Gal, S Bauer
arXiv preprint arXiv:2203.02016, 2022
Emergent Interfaces: Vague, Complex, Bespoke and Embodied Interaction between Humans and Computers
T Murray-Browne, P Tigas
Applied Sciences 11 (18), 8531, 2021
Unravelling A Regulation Machine: Fake News, Toxic Comments And'Illegitimate'Culture
D Mylonaki, P Tigas
A Peer-Reviewed Journal About 7 (1), 86-98, 2018
Global geomagnetic perturbation forecasting using Deep Learning
V Upendran, P Tigas, B Ferdousi, T Bloch, MCM Cheung, S Ganju, ...
Space Weather, e2022SW003045, 2022
Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
T Hosmer, P Tigas
39th Annual Conference of the Association for Computer Aided Design in …, 2019
Active inference, preference learning and adaptive behaviour
N Sajid, P Tigas, K Friston
IOP Conference Series: Materials Science and Engineering 1261 (1), 012020, 2022
Modelling non-reinforced preferences using selective attention
N Sajid, P Tigas, Z Fountas, Q Guo, A Zakharov, L Da Costa
arXiv preprint arXiv:2207.13699, 2022
Global geomagnetic perturbation forecasting using Deep Learning
V Upendran, P Tigas, B Ferdousi, T Bloch, MCM Cheung, S Ganju, ...
Space Weather, e2022SW003045, 2022
Ground magnetic field perturbation forecasting based on deep learning on spherical harmonics decomposition
B Ferdousi, V Upendran, P Tigas, T Bloch, A Bhatt, S Ganju, ...
AGU Fall Meeting Abstracts 2021, SM35B-1966, 2021
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
P Tigas, T Bloch, V Upendran, B Ferdoushi, M Cheung, S Ganju, ...
arXiv preprint arXiv:2102.01447, 2021
Determining new representations of" Geoeffectiveness" using deep learning
V Upendran, B Ferdousi, T Bloch, P Tigas, Y Gal, A Bhatt, ...
AGU Fall Meeting Abstracts 2020, NG004-0011, 2020
Real2sim: Automatic Generation of Open Street Map Towns For Autonomous Driving Benchmarks
A Mondal, P Tigas, Y Gal
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