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Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.

C. Baykal, L. Liebenwein, I. Gilitschenski, D. Feldman, and D. Rus. CoRR, (2018)

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Renate Liebenwein

Wolfgang Liebenwein

Sylva Liebenwein

Irmgard Lucas

Alfred Lucas

Other publications of authors with the same name

Provable Filter Pruning for Efficient Neural Networks.L. Liebenwein, C. Baykal, H. Lang, D. Feldman, and D. Rus. ICLR, OpenReview.net, (2020)Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees.L. Liebenwein, C. Baykal, I. Gilitschenski, S. Karaman, and D. Rus. Robotics: Science and Systems, (2018)Efficient Deep Learning: From Theory to Practice.L. Liebenwein. Massachusetts Institute of Technology, USA, (2021)Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.C. Baykal, L. Liebenwein, I. Gilitschenski, D. Feldman, and D. Rus. ICLR (Poster), OpenReview.net, (2019)Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition.L. Liebenwein, A. Maalouf, O. Gal, D. Feldman, and D. Rus. CoRR, (2021)Counterexample-Guided Safety Contracts for Autonomous Driving.J. DeCastro, L. Liebenwein, C. Vasile, R. Tedrake, S. Karaman, and D. Rus. WAFR, volume 14 of Springer Proceedings in Advanced Robotics, page 939-955. Springer, (2018)Training Support Vector Machines using Coresets.C. Baykal, L. Liebenwein, and W. Schwarting. CoRR, (2017)Closed-form Continuous-Depth Models.R. Hasani, M. Lechner, A. Amini, L. Liebenwein, M. Tschaikowski, G. Teschl, and D. Rus. CoRR, (2021)Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space.W. Schwarting, T. Seyde, I. Gilitschenski, L. Liebenwein, R. Sander, S. Karaman, and D. Rus. CoRL, volume 155 of Proceedings of Machine Learning Research, page 1855-1870. PMLR, (2020)Compositional and Contract-Based Verification for Autonomous Driving on Road Networks.L. Liebenwein, W. Schwarting, C. Vasile, J. DeCastro, J. Alonso-Mora, S. Karaman, and D. Rus. ISRR, volume 10 of Springer Proceedings in Advanced Robotics, page 163-181. Springer, (2017)

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Disambiguation of "Liebenwein, Lucas"

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Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.

Please choose a person to relate this publication to

Renate Liebenwein

Wolfgang Liebenwein

Sylva Liebenwein

Irmgard Lucas

Alfred Lucas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liebenwein, Lucas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.

Please choose a person to relate this publication to

Renate Liebenwein

Wolfgang Liebenwein

Sylva Liebenwein

Irmgard Lucas

Alfred Lucas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.