Thiago Serra

6 papers · 2018–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

AAAI (2) ICML (2) NeurIPS (2)

Top co-authors

Srikumar Ramalingam (4) Xin Yu (3) Shandian Zhe (2) Pedro Martins (1) Abhinav Kumar (1) Jiaqi Lin (1) Christian Tjandraatmadja (1) Jerzy Wieczorek (1) Thibaut Vidal (1) Aidan Good (1)

Research topics

Machine Learning (6) Deep Learning (5) Optimization & Theory · Deep Learning (4) Optimization & Theory · Machine Learning (4) Artificial Intelligence (2) Application Areas (2) Core AI (2) Core Methods (2) Mathematics & Optimization (1) Architectures (1) Optimization (1) Techniques (1)

Keywords

neural network pruning (3) model compression (3) piecewise linear (2) mixed integer programming (2) linear region (2) rectifier network (2) deep neural network (1) weight pruning (1) mixed integer linear programming (1) decision diagram (1) unstructured pruning (1) activation pattern (1) maxout network (1) optimal brain surgeon (1) neural network (1) mathematical programming (1) neural network expressiveness (1) recall distortion (1) deep rectifier network (1) mixed-integer linear (1)

Papers

Optimal Decision Diagrams for Classification AAAI 2023 Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NeurIPS 2022 The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks ICML 2022 Scaling Up Exact Neural Network Compression by ReLU Stability NeurIPS 2021 Empirical Bounds on Linear Regions of Deep Rectifier Networks AAAI 2020 Bounding and Counting Linear Regions of Deep Neural Networks ICML 2018