Sebastian Macaluso

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Partitional Clustering

Model Based Clustering

Exact And Approximate

Top Venues

Publications

Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. CoRR (2024)
Sebastian Macaluso, Craig S. Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering. AISTATS (2021)
Sebastian Macaluso, Kyle Cranmer
The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects. CoRR (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and approximate hierarchical clustering using A. UAI (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and Approximate Hierarchical Clustering Using A. CoRR (2021)
Johann Brehmer, Sebastian Macaluso, Duccio Pappadopulo, Kyle Cranmer
Hierarchical clustering in particle physics through reinforcement learning. CoRR (2020)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
Compact Representation of Uncertainty in Hierarchical Clustering. CoRR (2020)