Robert Calderbank
11 papers · 2010–2022 · 8 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
Jump to papers ↓+4 more ↓ Show less ↑
π Academic Marathon Β· Half π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (32)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(66)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(7)
Optimization & Theory
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Application Areas
(3)
Architectures
(3)
Mathematics
(3)
Optimization
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Analysis
(2)
Core AI
(2)
Learning Types
(2)
Natural Language Processing
(1)
Keywords
representation learning
(4)
deep learning
(2)
filter decomposition
(2)
compressive sensing
(2)
mutual information
(2)
convolutional neural network
(2)
deep neural network
(2)
compressed sensing
(2)
domain adaptation
(1)
feature learning
(1)
sparse recovery
(1)
high-dimensional statistics
(1)
network analysis
(1)
topic modeling
(1)
spectral norm
(1)
manifold regularization
(1)
high-dimensional regression
(1)
hierarchical model
(1)
generalization error
(1)
kullback-leibler divergence
(1)
Papers
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
JMLR 2022
Fake News Detection using Deep Markov Random Fields
NAACL 2019
Gradient Information for Representation and Modeling
NeurIPS 2019
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
ICLR 2019
LDMNet: Low Dimensional Manifold Regularized Neural Networks
CVPR 2018
Discriminative Robust Transformation Learning
NeurIPS 2015
Geometry-Aware Deep Transform
ICCV 2015
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs
AISTATS 2014
Nonlinear Information-Theoretic Compressive Measurement Design
ICML 2014
Designed Measurements for Vector Count Data
NeurIPS 2013
Detecting Weak but Hierarchically-Structured Patterns in Networks
AISTATS 2010