Sebastian Macaluso

14 papers A 2B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization.
CoRR
Matteo Salvatori, Filippo Vannella, Sebastian Macaluso, Stylianos E. Trevlakis, Carlos Segura Perales, José Suárez-Varela, Alexandros-Apostolos A. Boulogeorgos, Ioannis Arapakis
2026 J jnl
Quantum Computing for Large-Scale Network Optimization: Opportunities and Challenges.
IEEE Commun. Mag.
Sebastian Macaluso, Giovanni Geraci, Elías F. Combarro, Sergi Abadal, Ioannis Arapakis, Sofia Vallecorsa, Eduard Alarcón
2025 — conf
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI.
xAI (5)
Eva Paraschou, Ioannis Arapakis, Sofia Yfantidou, Sebastian Macaluso, Athena Vakali
2025 J jnl
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI.
CoRR
Eva Paraschou, Ioannis Arapakis, Sofia Yfantidou, Sebastian Macaluso, Athena Vakali
2025 J jnl
Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges.
CoRR
Sebastian Macaluso, Giovanni Geraci, Elías F. Combarro, Sergi Abadal, Ioannis Arapakis, Sofia Vallecorsa, Eduard Alarcón
2024 B conf
SKILLAB: Skills Matter.
SEAA
Mihaela Aluas, Lefteris Angelis, Ioannis Arapakis, Elvira-Maria Arvanitou, Kostantinos Georgiou, Anastasios Gogos, Marco Jahn, Dionysios D. Kehagias, Valia Kordoni, Sebastian Macaluso, Nikolaos Mittas, Vasiliki Moumtzi, Rosaria Rossini, Sofia Tsekeridou, Dimitrios Tsoukalas, Christina Volioti, Apostolos Vontas, Vassilis Voulgarakis
2024 J jnl
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics.
CoRR
Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
2024 J jnl
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics.
Trans. Mach. Learn. Res.
Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
2021 A conf
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.
AISTATS
Sebastian Macaluso, Craig S. Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
2021 J jnl
Exact and Approximate Hierarchical Clustering Using A.
CoRR
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021 A conf
Exact and approximate hierarchical clustering using A.
UAI
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021 J jnl
The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects.
CoRR
Sebastian Macaluso, Kyle Cranmer
2020 J jnl
Compact Representation of Uncertainty in Hierarchical Clustering.
CoRR
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
2020 J jnl
Hierarchical clustering in particle physics through reinforcement learning.
CoRR
Johann Brehmer, Sebastian Macaluso, Duccio Pappadopulo, Kyle Cranmer