Sebastian Macaluso

According to our database, Sebastian Macaluso authored at least 5 papers between 2020 and 2021.

Collaborative distances:

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

2021

The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects.

Sebastian Macaluso, Kyle Cranmer

CoRR, 2021

Exact and approximate hierarchical clustering using A.

Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.

Sebastian Macaluso, Craig S. Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Hierarchical clustering in particle physics through reinforcement learning.

Johann Brehmer, Sebastian Macaluso, Duccio Pappadopulo, Kyle Cranmer

CoRR, 2020

Compact Representation of Uncertainty in Hierarchical Clustering.

Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

CoRR, 2020