Santiago Segarra
16 papers · 2014–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(85)
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Renaissance Researcher
(7)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Research topics
Machine Learning
(11)
Mathematics & Optimization
(9)
Core Methods
(8)
Mathematics
(6)
Deep Learning
(5)
Optimization
(5)
Architectures
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Knowledge & Reasoning
(2)
Application Areas
(2)
Foundations
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
graph neural network
(4)
traffic engineering
(3)
network analysis
(2)
gaussian graphical model
(2)
network security
(2)
graph algorithm
(2)
structure learning
(1)
convex optimization
(1)
contrastive learning
(1)
geometric deep learning
(1)
posterior sampling
(1)
graph representation
(1)
permutation equivariance
(1)
algebraic topology
(1)
hierarchical clustering
(1)
anomaly detection
(1)
posterior distribution
(1)
worst-case analysis
(1)
trajectory prediction
(1)
markov decision process
(1)
Papers
Heuristic Analysis from Source Code via Symbolic-Guided Optimization
NSDI 2026
Repulsive Latent Score Distillation for Solving Inverse Problems
ICLR 2025
Scalable Implicit Graphon Learning
AISTATS 2025
Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
NSDI 2025
An Impossibility Theorem for Node Embedding
AISTATS 2024
Estimation of partially known Gaussian graphical models with score-based structural priors
AISTATS 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
NeurIPS 2024
Finding Adversarial Inputs for Heuristics using Multi-level Optimization
NSDI 2024
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
NSDI 2024
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs
NSDI 2024
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
ICLR 2023
Limits of Dense Simplicial Complexes
JMLR 2023
Graph Reordering for Cache-Efficient Near Neighbor Search
NeurIPS 2022
Joint Inference of Multiple Graphs from Matrix Polynomials
JMLR 2022
Principled Simplicial Neural Networks for Trajectory Prediction
ICML 2021
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
ICML 2014