← Authors

Guillermo Sapiro

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

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (14) πŸƒ Academic Marathon (19) 🌟 Keyword Trendsetter Combo (7) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ”¬ Deep Specialist (13) πŸ—ƒοΈ Keyword Collector (57) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ’Ž 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) JosΓ© Lezama (3) Pablo MusΓ© (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