← Authors

Alexandros G Dimakis

23 papers · 2014–2024 · 1 conference · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (56) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🧭 Keyword Pioneer 🏠 Conference Loyalist (23) πŸ‘₯ Mega-Team (60) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸ’Ž Century Club (23) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (129)

Conferences

NIPS (23)

Top co-authors

Sujay Sanghavi (4) Giannis Daras (4) Matt Jordan (4) Murat Kocaoglu (4) Karthikeyan Shanmugam (4) Shanshan Wu (4) Ajil Jalal (3) Sriram Vishwanath (3) Constantine Caramanis (3) Alexandros G. Dimakis (2)

Research topics

Statistics (1)

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