Alexandros G Dimakis
23 papers · 2014–2024 · 1 venue · 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 ↓+8 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (62) π Interdisciplinary Bridge Β· Silver π Conference Loyalist (23)
π§
Keyword Pioneer
π₯
Mega-Team Β· Legion
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(136)
Venues
Top co-authors
Research topics
Machine Learning
(22)
Optimization & Theory
(15)
Core Methods
(12)
Mathematics & Optimization
(11)
Artificial Intelligence
(8)
Deep Learning
(8)
Learning Types
(8)
Optimization
(8)
Core AI
(7)
Mathematics
(6)
Models
(4)
Computer Vision
(3)
Application Areas
(3)
Architectures
(3)
Computer Science
(2)
Keywords
relu network
(3)
information theory
(2)
causal inference
(2)
lower bound
(2)
neural network
(2)
locality sensitive hashing
(2)
ising model
(2)
conditional independence
(2)
graphical model
(2)
compressed sensing
(2)
dimensionality reduction
(2)
causal graph
(2)
combinatorial optimization
(2)
submodular optimization
(2)
generative model
(2)
sample complexity
(2)
transfer learning
(1)
image generation
(1)
adversarial robustness
(1)
contrastive learning
(1)
Papers
DataComp-LM: In search of the next generation of training sets for language models
NeurIPS 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
NeurIPS 2024
Inverse Problems Leveraging Pre-trained Contrastive Representations
NeurIPS 2021
Robust Compressed Sensing MRI with Deep Generative Priors
NeurIPS 2021
Applications of Common Entropy for Causal Inference
NeurIPS 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
NeurIPS 2020
Robust compressed sensing using generative models
NeurIPS 2020
SMYRF - Efficient Attention using Asymmetric Clustering
NeurIPS 2020
Inverting Deep Generative models, One layer at a time
NeurIPS 2019
Learning Distributions Generated by One-Layer ReLU Networks
NeurIPS 2019
Primal-Dual Block Generalized Frank-Wolfe
NeurIPS 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
NeurIPS 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
NeurIPS 2019
Experimental Design for Cost-Aware Learning of Causal Graphs
NeurIPS 2018
Model-Powered Conditional Independence Test
NeurIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
NeurIPS 2017
Leveraging Sparsity for Efficient Submodular Data Summarization
NeurIPS 2016
Single Pass PCA of Matrix Products
NeurIPS 2016
Learning Causal Graphs with Small Interventions
NeurIPS 2015
Orthogonal NMF through Subspace Exploration
NeurIPS 2015
Sparse PCA via Bipartite Matchings
NeurIPS 2015
On the Information Theoretic Limits of Learning Ising Models
NeurIPS 2014
Sparse Polynomial Learning and Graph Sketching
NeurIPS 2014