Lucas Liebenwein
6 papers · 2018–2021 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
ICLR (2)
NIPS (2)
CORL (1)
RSS (1)
Top co-authors
Keywords
model compression
(1)
matrix decomposition
(1)
multi-agent reinforcement learning
(1)
low-rank decomposition
(1)
formal verification
(1)
model pruning
(1)
generative model
(1)
approximation algorithm
(1)
neural ordinary differential equation
(1)
latent space
(1)
world model
(1)
autonomous system
(1)
mode collapse
(1)
continuous normalizing flow
(1)
convolutional layer
(1)
layer-wise compression
(1)
sampling-based algorithm
(1)
reachability analysis
(1)
provable guarantee
(1)
neural network
(1)
Papers
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
NIPS 2021
Sparse Flows: Pruning Continuous-depth Models
NIPS 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