Robert Calderbank
11 papers · 2010–2022 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (11)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Polyglot
(8)
π
Century Club
(11)
ποΈ
Keyword Collector
(61)
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (3)
AISTATS (2)
CVPR (1)
ICCV (1)
ICLR (1)
ICML (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
representation learning
(4)
compressive sensing
(2)
mutual information
(2)
deep learning
(2)
compressed sensing
(2)
anomaly detection
(1)
high-dimensional statistics
(1)
domain adaptation
(1)
topic modeling
(1)
feature learning
(1)
high-dimensional regression
(1)
network analysis
(1)
hierarchical model
(1)
kullback-leibler divergence
(1)
generalization error
(1)
manifold regularization
(1)
metric learning
(1)
spectral norm
(1)
gaussian noise
(1)
sparse recovery
(1)
Papers
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
JMLR 2022
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
ICLR 2019
Fake News Detection using Deep Markov Random Fields
NAACL 2019
Gradient Information for Representation and Modeling
NIPS 2019
LDMNet: Low Dimensional Manifold Regularized Neural Networks
CVPR 2018
Geometry-Aware Deep Transform
ICCV 2015
Discriminative Robust Transformation Learning
NIPS 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
NIPS 2013
Detecting Weak but Hierarchically-Structured Patterns in Networks
AISTATS 2010