Roy T. Forestano

22 papers Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders. CoRR Alexander Roman, Emilie Panek, Roy T. Forestano, Eyup B. Unlu, Katia Matcheva, Konstantin T. Matchev
2025	J	`jnl`	Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2024	J	`jnl`	A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks. Axioms 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
2024	J	`jnl`	Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. Axioms 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
2024	J	`jnl`	Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. CoRR 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
2024	J	`jnl`	Lie-Equivariant Quantum Graph Neural Networks. CoRR Jogi Suda Neto, Roy T. Forestano, Sergei Gleyzer, Kyoungchul Kong, Konstantin T. Matchev, Katia Matcheva
2024	J	`jnl`	Quantum Vision Transformers for Quark-Gluon Classification. Axioms 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
2024	J	`jnl`	Quantum Vision Transformers for Quark-Gluon Classification. CoRR 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
2024	J	`jnl`	ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. Axioms 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
2023	J	`jnl`	A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks. CoRR 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
2023	J	`jnl`	Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup Unlu, Sarunas Verner
2023	J	`jnl`	Deep learning symmetries and their Lie groups, algebras, and subalgebras from first principles. Mach. Learn. Sci. Technol. Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Discovering Sparse Representations of Lie Groups with Machine Learning. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Identifying the Group-Theoretic Structure of Machine-Learned Symmetries. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Oracle-Preserving Latent Flows. CoRR Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023	J	`jnl`	Oracle-Preserving Latent Flows. Symmetry Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023	—	`conf`	Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model. PKDD/ECML Workshops (5) Eyup B. Unlu, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva
2023	J	`jnl`	Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model. CoRR Eyup B. Unlu, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva
2023	J	`jnl`	Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023	J	`jnl`	Z CoRR 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
2021	—	`conf`	Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. NeurIPS (Competition and Demos) 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, Ahmed F. Al-Refaie, Clare Jenner, Chris Johnson, Angelos Tsiaras, Billy Edwards, Catarina Alves de Oliveira, Jeyan Thiyagalingam, Pierre-Olivier Lagage, James Cho, Giovanna Tinetti