Alexander Roman

According to our database, Alexander Roman authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs.

Carissa Cullen, Harry Garland, Alexander Roman, Louis Thomson, Christos Ziakas, Elliott Thornley

CoRR, April, 2026

ASTER - Agentic Science Toolkit for Exoplanet Research.

Emilie Panek, Alexander Roman, Gaurav Shukla, Leonardo Pagliaro, Katia Matcheva, Konstantin T. Matchev

CoRR, March, 2026

The Pareto Frontiers of Magic and Entanglement: The Case of Two Qubits.

Alexander Roman, Marco Knipfer, Jogi Suda Neto, Konstantin T. Matchev, Katia Matcheva, Sergei Gleyzer

CoRR, March, 2026

AI Agents for Variational Quantum Circuit Design.

Marco Knipfer, Alexander Roman, Konstantin T. Matchev, Katia Matcheva, Sergei Gleyzer

CoRR, February, 2026

Orchestral AI: A Framework for Agent Orchestration.

Alexander Roman, Jacob Roman

CoRR, January, 2026

Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders.

Alexander Roman, Emilie Panek, Roy T. Forestano, Eyup B. Unlu, Katia Matcheva, Konstantin T. Matchev

CoRR, January, 2026

2025

Towards shutdownable agents via stochastic choice.

Elliott Thornley, Alexander Roman, Christos Ziakas, Louis Thomson, Leyton Ho

Trans. Mach. Learn. Res., 2025

2023

Oracle-Preserving Latent Flows.

Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu

Symmetry, July, 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 B. Unlu, Sarunas Verner

Mach. Learn. Sci. Technol., June, 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

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

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

Simulation-Based Optimization of Air Force Mission Planning.

Mihaela Lechner, Alexander Roman, Tobias Uhlig, Oliver Rose, Thomas Mayer

Proceedings of the Winter Simulation Conference, 2023

2022

Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra.

Konstantin T. Matchev, Katia Matcheva, Alexander Roman

CoRR, 2022

2021

Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression.

Konstantin T. Matchev, Katia Matcheva, Alexander Roman

CoRR, 2021

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, 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

Proceedings of the NeurIPS 2022 Competition Track, 2021