| 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 | 153 | 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 | 92 | 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 | 32* | 2020 |
| 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 | 17 | 2021 |
| 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 | 16 | 2021 |
| Interventions, Where and How? Experimental Design for Causal Models at Scale P Tigas, Y Annadani, A Jesson, B Schölkopf, Y Gal, S Bauer Neural Information Processing Systems 35 (1), 2022 | 15 | 2022 |
| Latent mappings: Generating open-ended expressive mappings using variational autoencoders T Murray-Browne, P Tigas NIME 2021, 2021 | 11 | 2021 |
| Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART) T Hosmer, P Tigas 39th Annual Conference of the Association for Computer Aided Design in …, 2019 | 9* | 2019 |
| 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 | 8 | 2014 |
| 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 | 7* | 2020 |
| Global geomagnetic perturbation forecasting using Deep Learning V Upendran, P Tigas, B Ferdousi, T Bloch, MCM Cheung, S Ganju, ... Space Weather, e2022SW003045, 2022 | 5* | 2022 |
| Real2sim: Automatic Generation of Open Street Map Towns For Autonomous Driving Benchmarks A Mondal, P Tigas, Y Gal | 4 | 2020 |
| Differentiable multi-target causal bayesian experimental design P Tigas, Y Annadani, DR Ivanova, A Jesson, Y Gal, A Foster, S Bauer International Conference on Machine Learning, 34263-34279, 2023 | 2* | 2023 |
| Active inference, preference learning and adaptive behaviour N Sajid, P Tigas, K Friston IOP Conference Series: Materials Science and Engineering 1261 (1), 012020, 2022 | 2 | 2022 |
| Emergent interfaces: Vague, complex, bespoke and embodied interaction between humans and computers T Murray-Browne, P Tigas Applied Sciences 11 (18), 8531, 2021 | 2 | 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 | 2 | 2018 |
| A Multilevel Low-Rank Newton Method with Super-linear Convergence Rate and its Application to Non-convex Problems N Tsipinakis, P Tigkas, P Parpas arXiv preprint arXiv:2305.08742, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Multiscale Geoeffectiveness Forecasting: Upgrading the DAGGER Pipeline R Mukundan, S Yerramilli, M Heyns, B Ferdousi, V Upendran, A Vourlidas, ... AGU23, 2023 | | 2023 |
| Global Geomagnetic Perturbation Forecasting Using Deep Learning B Ferdousi, V Upendran, P Tigas, T Bloch, M Cheung, S Ganju, A Bhatt, ... EGU23, 2023 | | 2023 |
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
