Lucas Liebenwein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2017–2020
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | CoRL | Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. | Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus |
| 2020 | ICLR | Provable Filter Pruning for Efficient Neural Networks. | Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus |
| 2019 | ICLR | Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. | Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus |
| 2018 | WAFR | Counterexample-Guided Safety Contracts for Autonomous Driving. | Jonathan A. DeCastro, Lucas Liebenwein, Cristian Ioan Vasile, Russ Tedrake, Sertac Karaman, Daniela Rus |
| 2017 | ISRR | Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. | Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile, Jonathan A. DeCastro, Javier Alonso-Mora, Sertac Karaman, Daniela Rus |