Predicting the outcomes of material syntheses with deep learning SA Malik, REA Goodall, AA Lee Chemistry of Materials 33 (2), 616-624, 2021 | 16 | 2021 |
BatchGFN: Generative Flow Networks for Batch Active Learning SA Malik, S Lahlou, A Jesson, M Jain, N Malkin, T Deleu, Y Bengio, Y Gal ICML 2023: Structured Probabilistic Inference & Generative Modeling Workshop, 2023 | 3 | 2023 |
Discovering Long-period Exoplanets using Deep Learning with Citizen Science Labels SA Malik, NL Eisner, CJ Lintott, Y Gal NeurIPS 2022: Machine Learning and the Physical Sciences Workshop, 2022 | 1 | 2022 |
Incorporating Direct EUV Irradiance from Solar Images into Thermospheric Density Modelling with Machine Learning TE Berger, S Malik, J Walsh, G Acciarini AGU23, 2023 | | 2023 |
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery SA Malik, J Walsh, G Acciarini, TE Berger, AG Baydin NeurIPS 2023: Machine Learning and the Physical Sciences Workshop, 2023 | | 2023 |
Multi-Modal Fusion by Meta-Initialization MT Jackson*, SA Malik*, MT Matthews, Y Mohamed-Ahmed arXiv preprint arXiv:2210.04843, 2022 | | 2022 |