Alexandros G Dimakis
23 papers · 2014–2024 · 1 conference · across top CS/AI conferences
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Conferences
NIPS (23)
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Research topics
Keywords
relu network
(3)
sample complexity
(2)
ising model
(2)
graphical model
(2)
dimensionality reduction
(2)
information theory
(2)
generative model
(2)
conditional independence
(2)
submodular optimization
(2)
compressed sensing
(2)
causal graph
(2)
neural network
(2)
combinatorial optimization
(2)
locality sensitive hashing
(2)
causal inference
(2)
transfer learning
(1)
image generation
(1)
adversarial robustness
(1)
contrastive learning
(1)
langevin dynamics
(1)
Papers
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
NIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Inverse Problems Leveraging Pre-trained Contrastive Representations
NIPS 2021
Robust Compressed Sensing MRI with Deep Generative Priors
NIPS 2021
SMYRF - Efficient Attention using Asymmetric Clustering
NIPS 2020
Applications of Common Entropy for Causal Inference
NIPS 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
NIPS 2020
Robust compressed sensing using generative models
NIPS 2020
Learning Distributions Generated by One-Layer ReLU Networks
NIPS 2019
Inverting Deep Generative models, One layer at a time
NIPS 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
NIPS 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
NIPS 2019
Primal-Dual Block Generalized Frank-Wolfe
NIPS 2019
Experimental Design for Cost-Aware Learning of Causal Graphs
NIPS 2018
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
NIPS 2017
Model-Powered Conditional Independence Test
NIPS 2017
Single Pass PCA of Matrix Products
NIPS 2016
Leveraging Sparsity for Efficient Submodular Data Summarization
NIPS 2016
Learning Causal Graphs with Small Interventions
NIPS 2015
Orthogonal NMF through Subspace Exploration
NIPS 2015
Sparse PCA via Bipartite Matchings
NIPS 2015
On the Information Theoretic Limits of Learning Ising Models
NIPS 2014
Sparse Polynomial Learning and Graph Sketching
NIPS 2014