Segarra, Santiago

13 publications

NeurIPS 2025 A Few Moments Please: Scalable Graphon Learning via Moment Matching Reza Ramezanpour, Victor M. Tenorio, Antonio G. Marques, Ashutosh Sabharwal, Santiago Segarra

ICLR 2025 Repulsive Latent Score Distillation for Solving Inverse Problems Nicolas Zilberstein, Morteza Mardani, Santiago Segarra

AISTATS 2025 Scalable Implicit Graphon Learning Ali Azizpour, Nicolas Zilberstein, Santiago Segarra

AISTATS 2024 An Impossibility Theorem for Node Embedding T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

AISTATS 2024 Estimation of Partially Known Gaussian Graphical Models with Score-Based Structural Priors Martín Sevilla, Antonio G. Marques, Santiago Segarra

NeurIPS 2024 Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

ICLR 2023 Graph-Based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems Zhongyuan Zhao, Ananthram Swami, Santiago Segarra

JMLR 2023 Limits of Dense Simplicial Complexes T. Mitchell Roddenberry, Santiago Segarra

NeurIPSW 2022 GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

NeurIPS 2022 Graph Reordering for Cache-Efficient near Neighbor Search Benjamin Coleman, Santiago Segarra, Alexander J Smola, Anshumali Shrivastava

JMLR 2022 Joint Inference of Multiple Graphs from Matrix Polynomials Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra

ICML 2021 Principled Simplicial Neural Networks for Trajectory Prediction T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra

ICML 2014 Hierarchical Quasi-Clustering Methods for Asymmetric Networks Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra