| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | He, Jie ; Nickovic, Dejan ; Bartocci, Ezio ; Grosu, Radu | TD-Magic: From Pictures of Timing Diagrams To Formal Specifications | Inproceedings Konferenzbeitrag | 15-Sep-2023 |
| 2 | | Bhandary, Shrajan ; Kuhn, Dejan ; Babaiee, Zahra ; Fechter, Tobias ; Benndorf, Matthias ; Zamboglou, Constantinos ; Grosu, Anca-Ligia ; Grosu, Radu | Investigation and benchmarking of U-Nets on prostate segmentation tasks | Article Artikel | Jul-2023 |
| 3 | | Scheuchenstuhl, Daniel ; Ulmer, Stefan ; Resch, Felix ; Berducci, Luigi ; Grosu, Radu | Enhancing Robot Learning through Learned Human-Attention Feature Maps | Presentation Vortrag | 29-May-2023 |
| 4 | | Brandstatter, Andreas ; Smolka, Scott A. ; Stoller, Scott D. ; Tiwari, Ashish ; Grosu, Radu | Multi-Agent Spatial Predictive Control with Application to Drone Flocking | Inproceedings Konferenzbeitrag | 2023 |
| 5 | | Berducci, Luigi ; Grosu, Radu | Safe Policy Improvement in Constrained Markov Decision Processes | Inproceedings Konferenzbeitrag | 17-Oct-2022 |
| 6 | | Brandstätter, Andreas ; Smolka, Scott A. ; Stoller, Scott D. ; Tiwari, Ashish ; Grosu, Radu | Towards Drone Flocking Using Relative Distance Measurements | Inproceedings Konferenzbeitrag | 17-Oct-2022 |
| 7 | | Lemmel, Julian ; Babaiee, Zahra ; Kleinlehner, Marvin ; Majic, Ivan ; Neubauer, Philipp ; Scholz, Johannes ; Grosu, Radu ; Neubauer, Sophie | Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data | Inproceedings Konferenzbeitrag | 27-Jun-2022 |
| 8 | | He, Jie ; Bartocci, Ezio ; Ničković, Dejan ; Isakovic, Haris ; Grosu, Radu | DeepSTL | Inproceedings Konferenzbeitrag | 2022 |
| 9 | | Brunnbauer, Axel ; Berducci, Luigi ; Brandstätter, Andreas ; Lechner, Mathias ; Hasani, Ramin ; Rus, Daniela ; Grosu, Radu | Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing | Inproceedings Konferenzbeitrag | 2022 |
| 10 | | Isakovic, Haris ; Dangl, Stefan ; Tucakovic, Zlatan ; Grosu, Radu | Adaptive Signal Filtering Platform for a CPS/IoT Ecosystem | Konferenzbeitrag Inproceedings | 2021 |
| 11 | | Cardelli, Luca ; Grosu, Radu ; Larsen, Kim G. ; Tribastone, Mirco ; Tschaikowski, Max ; Vandin, Andrea | Lumpability for Uncertain Continuous-Time Markov Chains | Konferenzbeitrag Inproceedings | 2021 |
| 12 | | Isakovic, Haris ; Ferreira, Luis Lino ; Okic, Irmin ; Dukkon, Adam ; Tucakovic, Zlatan ; Grosu, Radu | QoS for Dynamic Deployment of IoT Services | Konferenzbeitrag Inproceedings | 2021 |
| 13 | | Usama, Muhammad ; Stoller, Scott D. ; Grosu, Radu ; Roy, Shouvik ; Damare, Amol ; Smolka, Scott A. | A Distributed Simplex Architecture for Multi-agent Systems | Konferenzbeitrag Inproceedings | 2021 |
| 14 | | Usama, Muhammad ; Stoller, Scott D. ; Grosu, Radu ; Smolka, Scott A. | Collision-Free 3D Flocking Using the Distributed Simplex Architecture | Konferenzbeitrag Inproceedings | 2021 |
| 15 | | Babaiee, Zahra ; Hasani, Ramin ; Lechner, Mathias ; Rus, Daniela ; Grosu, Radu | On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification | Konferenzbeitrag Inproceedings | 2021 |
| 16 | | Hasani, Ramin ; Lechner, Mathias ; Amini, Alexander ; Rus, Daniela ; Grosu, Radu | Liquid Time-Constant Networks | Konferenzbeitrag Inproceedings | 2021 |
| 17 | | Grünbacher, Sophie ; Hasani, Ramin ; Lechner, Mathias ; Cyranka, Jacek ; Smolka, Scott A. ; Grosu, Radu | On The Verification of Neural ODEs with Stochastic Guarantees | Konferenzbeitrag Inproceedings | 2021 |
| 18 | | Roy, Shouvik ; Usama, Muhammad ; Grosu, Radu ; Smolka, Scott A. ; Stoller, Scott D. | Distributed Control for Flocking Maneuvers via Acceleration-Weighted Neighborhooding | Konferenzbeitrag Inproceedings | 2021 |
| 19 | | Lechner, Mathias ; Hasani, Ramin ; Grosu, Radu ; Rus, Daniela ; Henzinger, Thomas A. | Adversarial Training is Not Ready for Robot Learning | Konferenzbeitrag Inproceedings | 2021 |
| 20 | | Lechner, Mathias ; Hasani, Ramin ; Rus, Daniela ; Grosu, Radu | Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme | Inproceedings Konferenzbeitrag | 31-Aug-2020 |