| Deep learning symmetries and their Lie groups, algebras, and subalgebras from first principles RT Forestano, KT Matchev, K Matcheva, A Roman, EB Unlu, S Verner Machine Learning: Science and Technology 4 (2), 025027, 2023 | 17 | 2023 |
| A comparison between invariant and equivariant classical and quantum graph neural networks RT Forestano, M Comajoan Cara, GR Dahale, Z Dong, S Gleyzer, ... Axioms 13 (3), 160, 2024 | 11 | 2024 |
| ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Z Dong, M Comajoan Cara, GR Dahale, RT Forestano, S Gleyzer, ... Axioms 13 (3), 188, 2024 | 7 | 2024 |
| Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics EB Unlu, M Comajoan Cara, GR Dahale, Z Dong, RT Forestano, ... Axioms 13 (3), 187, 2024 | 7 | 2024 |
| Discovering sparse representations of Lie groups with machine learning RT Forestano, KT Matchev, K Matcheva, A Roman, EB Unlu, S Verner Physics Letters B 844, 138086, 2023 | 7 | 2023 |
| Accelerated discovery of machine-learned symmetries: deriving the exceptional Lie groups G2, F4 and E6 RT Forestano, KT Matchev, K Matcheva, A Roman, EB Unlu, S Verner Physics Letters B 847, 138266, 2023 | 6 | 2023 |
| Oracle-preserving latent flows A Roman, RT Forestano, KT Matchev, K Matcheva, EB Unlu Symmetry 15 (7), 1352, 2023 | 6 | 2023 |
| Identifying the group-theoretic structure of machine-learned symmetries RT Forestano, KT Matchev, K Matcheva, A Roman, EB Unlu, S Verner Physics Letters B 847, 138306, 2023 | 4 | 2023 |
| Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection RT Forestano, KT Matchev, K Matcheva, EB Unlu The Astrophysical Journal 958 (2), 106, 2023 | 4 | 2023 |
| Quantum Vision Transformers for Quark-Gluon Classification MC Cara, GR Dahale, Z Dong, RT Forestano, S Gleyzer, D Justice, ... arXiv preprint arXiv:2405.10284, 2024 | 2 | 2024 |
| Accelerated discovery of machine-learned symmetries: Deriving the exceptional Lie groups, And RT Forestano, KT Matchev, K Matcheva, A Roman, EB Unlu, S Verner Physics Letters B 848, 2023 | 1 | 2023 |
| Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model EB Unlu, RT Forestano, KT Matchev, K Matcheva arXiv preprint arXiv:2310.10521, 2023 | 1 | 2023 |
| Lessons Learned from Ariel Data Challenge 2022-Inferring Physical Properties of Exoplanets From Next-Generation Telescopes KH Yip, Q Changeat, I Waldmann, EB Unlu, RT Forestano, A Roman, ... NeurIPS 2022 Competition Track, 1-17, 2023 | 1 | 2023 |
| Lie-Equivariant Quantum Graph Neural Networks JS Neto, RT Forestano, S Gleyzer, K Kong, KT Matchev, K Matcheva arXiv preprint arXiv:2411.15315, 2024 | | 2024 |
| Lie-Equivariant Quantum Graph Neural Networks J Suda Neto, RT Forestano, S Gleyzer, K Kong, KT Matchev, K Matcheva arXiv e-prints, arXiv: 2411.15315, 2024 | | 2024 |
| Quantum Vision Transformers for Quark–Gluon Classification M Comajoan Cara, GR Dahale, Z Dong, RT Forestano, S Gleyzer, ... Axioms 13 (5), 323, 2024 | | 2024 |
| Using Unsupervised Learning for Identifying Exoplanets with Anomalous Atmospheric Chemistry KI Matcheva, K Matchev, R Forestano, E Unlu AGU23, 2024 | | 2024 |
| Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Z Dong, MC Cara, GR Dahale, RT Forestano, S Gleyzer, D Justice, ... arXiv preprint arXiv:2311.18744, 2023 | | 2023 |
| Unsupervised Learning and Feature Engineering of Exoplanet Transmission Spectra EB Unlu, R Forestano, K Matchev, K Matcheva AAS/Division for Planetary Sciences Meeting Abstracts 55 (8), 223.02, 2023 | | 2023 |
| Anomaly detection techniques for unusual chemistry in exoplanet atmospheres K Matcheva, R Forestano, K Matchev, EB Unlu AAS/Division for Planetary Sciences Meeting Abstracts 55 (8), 200.04, 2023 | | 2023 |
