Guillermo Sapiro

38 papers · 2006–2025 · 9 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (14) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9)

🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (14) 🏃 Academic Marathon (19) 🌟 Keyword Trendsetter Combo (7) 🤝 Dynamic Duo (15) 👑 Triple Crown 🏆 Keyword Champion 🔬 Deep Specialist (13) 🗃️ Keyword Collector (57) 🔥 Unstoppable (8) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (6) 💎 Century Club (38)

Conferences

NIPS (10) CVPR (9) ICML (6) AISTATS (3) ICLR (3) JMLR (3) ICCV (2) ECCV (1) MLHC (1)

Top co-authors

Qiang Qiu (15) Xiuyuan Cheng (5) Robert Calderbank (5) Natalia Martinez (4) Martin Bertran (4) José Lezama (3) Pablo Musé (3) Lawrence Carin (3) Miguel Rodrigues (3) Jiaji Huang (3)

Keywords

dictionary learning (6) convolutional neural network (5) representation learning (4) deep learning (4) filter decomposition (3) neural network (3) sparse coding (3) convex optimization (3) group fairness (3) feature learning (2) metric learning (2) generalization error (2) minimax optimization (2) image denoising (2) sparse representation (2) domain adaptation (2) deep neural network (2) compressive sensing (2) online learning (1) adversarial learning (1)

Papers

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration ICML 2025 SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning ICLR 2025 From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks ICML 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters JMLR 2022 Blind Pareto Fairness and Subgroup Robustness ICML 2021 Stochastic Conditional Generative Networks with Basis Decomposition ICLR 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Attention-Based Network for Weak Labels in Neonatal Seizure Detection MLHC 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks NIPS 2020 Instance-based Generalization in Reinforcement Learning NIPS 2020 RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks ICLR 2019 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks ECCV 2018 DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018 Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding CVPR 2017 Generalization Error of Invariant Classifiers AISTATS 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 Deep Video Deblurring for Hand-Held Cameras CVPR 2017 Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017 Discriminative Robust Transformation Learning NIPS 2015 Geometry-Aware Deep Transform ICCV 2015 Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation CVPR 2015 Learning Transformations for Clustering and Classification JMLR 2015 Low-Cost Compressive Sensing for Color Video and Depth CVPR 2014 A Convex Optimization Framework for Active Learning ICCV 2013 Supervised Sparse Analysis and Synthesis Operators NIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NIPS 2013 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NIPS 2012 Topology Constraints in Graphical Models NIPS 2012 Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011 Online Learning for Matrix Factorization and Sparse Coding JMLR 2010 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009 Supervised Dictionary Learning NIPS 2008 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006