Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. - Kai Hou Yip; Quentin Changeat; Ingo P. Waldmann; Eyup B. Unlu; Roy T. Forestano; Alexander Roman; Katia Matcheva; Konstantin T. Matchev; Stefan Stefanov; Ondrej Podsztavek; Mario Morvan; Nikolaos Nikolaou; et al. (NeurIPS (Competition and Demos), 2021)

Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model. - Eyup B. Unlu; Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva (PKDD/ECML Workshops (5), 2023)

Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup Unlu; Sarunas Verner (CoRR, 2023)

Discovering Sparse Representations of Lie Groups with Machine Learning. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (CoRR, 2023)

Identifying the Group-Theoretic Structure of Machine-Learned Symmetries. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Z2 × Z2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. - Zhongtian Dong; Marçal Comajoan Cara; Gopal Ramesh Dahale; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (CoRR, 2023)

Oracle-Preserving Latent Flows. - Alexander Roman; Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Symmetry, 2023)

ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. - Zhongtian Dong; Marçal Comajoan Cara; Gopal Ramesh Dahale; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Axioms, 2024)

A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks. - Roy T. Forestano; Marçal Comajoan Cara; Gopal Ramesh Dahale; Zhongtian Dong; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Axioms, 2024)

Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. - Eyup B. Unlu; Marçal Comajoan Cara; Gopal Ramesh Dahale; Zhongtian Dong; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva (Axioms, 2024)

Quantum Vision Transformers for Quark-Gluon Classification. - Marçal Comajoan Cara; Gopal Ramesh Dahale; Zhongtian Dong; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Axioms, 2024)