Lucas Liebenwein
6 papers · 2018–2021 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Silver
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
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Research topics
Keywords
model compression
(1)
matrix decomposition
(1)
neural network compression
(1)
multi-agent reinforcement learning
(1)
neural network optimization
(1)
low-rank decomposition
(1)
formal verification
(1)
importance sampling
(1)
model pruning
(1)
generative model
(1)
generalization bound
(1)
approximation algorithm
(1)
convolutional neural network
(1)
neural ordinary differential equation
(1)
latent space
(1)
world model
(1)
filter pruning
(1)
model efficiency
(1)
autonomous system
(1)
mode collapse
(1)
Papers
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
NeurIPS 2021
Sparse Flows: Pruning Continuous-depth Models
NeurIPS 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
CoRL 2020
Provable Filter Pruning for Efficient Neural Networks
ICLR 2020
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
ICLR 2019
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees
RSS 2018