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Publication search results
found 266 matches
- 2024
- Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. WACV 2024: 8201-8210 - Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Learning with Chemical versus Electrical Synapses - Does it Make a Difference? CoRR abs/2401.08602 (2024) - Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR abs/2401.10178 (2024) - Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. CoRR abs/2401.14469 (2024) - Mónika Farsang, Radu Grosu:
Gated Chemical Units. CoRR abs/2403.08791 (2024) - Axel Brunnbauer, Luigi Berducci, Peter Priller, Dejan Nickovic, Radu Grosu:
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving. CoRR abs/2403.17805 (2024) - 2023
- Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Matthias Benndorf, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
Investigation and benchmarking of U-Nets on prostate segmentation tasks. Comput. Medical Imaging Graph. 107: 102241 (2023) - Christian Hirsch, Luca Davoli, Radu Grosu, Gianluigi Ferrari:
DynGATT: A dynamic GATT-based data synchronization protocol for BLE networks. Comput. Networks 222: 109560 (2023) - Usama Mehmood, Shouvik Roy, Amol Damare, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
A distributed simplex architecture for multi-agent systems. J. Syst. Archit. 134: 102784 (2023) - Luca Cardelli, Radu Grosu, Kim Guldstrand Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Algorithmic Minimization of Uncertain Continuous-Time Markov Chains. IEEE Trans. Autom. Control. 68(11): 6557-6572 (2023) - Jie He, Dejan Nickovic, Ezio Bartocci, Radu Grosu:
TD-Magic: From Pictures of Timing Diagrams To Formal Specifications. DAC 2023: 1-6 - Xabier Iturbe, Nassim Abderrahmane, Jaume Abella, Sergi Alcaide, Eric Beyne, Henri-Pierre Charles, Christelle Charpin-Nicolle, Lars Chittka, Angélica Dávila, Arne Erdmann, Carles Estrada, Ander Fernández, Anna Fontanelli, José Flich, Gianluca Furano, Alejandro Hernán Gloriani, Erik Isusquiza, Radu Grosu, Carles Hernández, Daniele Ielmini, David Jackson, Maha Kooli, Nicola Lepri, Bernabé Linares-Barranco, Jean-Loup Lachese, Eric Laurent, Menno Lindwer, Frank Linsenmaier, Mikel Luján, Karel Masarík, Nele Mentens, Orlando Moreira, Chinmay Nawghane, Luca Peres, Jean-Philippe Noel, Arash Pourtaherian, Christoph Posch, Peter Priller, Zdenek Prikryl, Felix Resch, Oliver Rhodes, Todor P. Stefanov, Moritz Storring, Michele Taliercio, Rafael Tornero, Marcel D. van de Burgwal, Geert Van der Plas, Elisa Vianello, Pavel Zaykov:
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. DATE 2023: 1-6 - Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Multi-Agent Spatial Predictive Control with Application to Drone Flocking. ICRA 2023: 1221-1227 - Julian Lemmel, Radu Grosu:
On the Benefits of Biophysical Synapses. CoRR abs/2303.04944 (2023) - Sophie A. Neubauer, Radu Grosu:
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques. CoRR abs/2308.12192 (2023) - Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer:
Prediction of Tourism Flow with Sparse Geolocation Data. CoRR abs/2308.14516 (2023) - Daniel Scheuchenstuhl, Stefan Ulmer, Felix Resch, Luigi Berducci, Radu Grosu:
Enhancing Robot Learning through Learned Human-Attention Feature Maps. CoRR abs/2308.15327 (2023) - Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu:
Learning Adaptive Safety for Multi-Agent Systems. CoRR abs/2309.10657 (2023) - Julian Lemmel, Radu Grosu:
Real-Time Recurrent Reinforcement Learning. CoRR abs/2311.04830 (2023) - 2022
- Paul Bogdan, Radu Grosu, Insup Lee:
Introduction to the Special Issue on Internet-of-Medical-Things. ACM Trans. Comput. Heal. 3(3): 26e:1 (2022) - Penghua Li, Yifeng Yang, Radu Grosu, Guodong Wang, Rui Li, Yuehong Wu, Zeng Huang:
Driver Distraction Detection Using Octave-Like Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 23(7): 8823-8833 (2022) - Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu:
GoTube: Scalable Statistical Verification of Continuous-Depth Models. AAAI 2022: 6755-6764 - Sophie A. Neubauer, Radu Grosu:
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques. Principles of Systems Design 2022: 625-649 - Radu Grosu:
Keynote Lecture Towards Neuro-Symbolic AI. ICCP 2022: vii - Hamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu:
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. ICMLA 2022: 126-131 - Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. ICRA 2022: 7513-7520 - Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu:
DeepSTL - From English Requirements to Signal Temporal Logic. ICSE 2022: 610-622 - Luigi Berducci, Radu Grosu:
Safe Policy Improvement in Constrained Markov Decision Processes. ISoLA (1) 2022: 360-381 - Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Towards Drone Flocking Using Relative Distance Measurements. ISoLA (3) 2022: 97-109 - Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Multi-Agent Spatial Predictive Control with Application to Drone Flocking (Extended Version). CoRR abs/2203.16960 (2022)
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