Erik Lindgren
5 papers · 2016–2021 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(12)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
submodular optimization
(1)
combinatorial optimization
(1)
variational inference
(1)
uncertainty quantification
(1)
information retrieval
(1)
vector quantization
(1)
locality sensitive hashing
(1)
sparse approximation
(1)
experimental design
(1)
approximate nearest neighbor
(1)
data summarization
(1)
generative model
(1)
greedy algorithm
(1)
approximation algorithm
(1)
inverse problem
(1)
normalizing flow
(1)
causal intervention
(1)
causal graph
(1)
facility location
(1)
intervention design
(1)
Papers
Composing Normalizing Flows for Inverse Problems
ICML 2021
Efficient Training of Retrieval Models using Negative Cache
NeurIPS 2021
Accelerating Large-Scale Inference with Anisotropic Vector Quantization
ICML 2020
Experimental Design for Cost-Aware Learning of Causal Graphs
NeurIPS 2018
Leveraging Sparsity for Efficient Submodular Data Summarization
NeurIPS 2016