Radu Grosu

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 169

Top Venues

Technical University Munich, Germany (PHD)

Education History

Technical University Munich, Germany

PHD

Publications

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR (2024)
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 (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. ICLR (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. WACV (2024)
Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers. CoRR (2024)
Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu
Flock-Formation Control of Multi-Agent Systems using Imperfect Relative Distance Measurements. ICRA (2024)
Mónika Farsang, Radu Grosu
Gated Chemical Units. CoRR (2024)
Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Simon Spohn, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game. CoRR (2024)
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
Learning Adaptive Safety for Multi-Agent Systems. ICRA (2024)
Axel Brunnbauer, Luigi Berducci, Peter Priller, Dejan Nickovic, Radu Grosu
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving. CoRR (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. CoRR (2024)
Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
Learning with Chemical versus Electrical Synapses Does it Make a Difference? ICRA (2024)
Christian Hirsch, Luca Davoli, Radu Grosu, Gianluigi Ferrari
DynGATT: A dynamic GATT-based data synchronization protocol for BLE networks. Comput. Networks 222 (2023)
Julian Lemmel, Radu Grosu
Real-Time Recurrent Reinforcement Learning. CoRR (2023)
Jie He, Dejan Nickovic, Ezio Bartocci, Radu Grosu
TD-Magic: From Pictures of Timing Diagrams To Formal Specifications. DAC (2023)
Sophie A. Neubauer, Radu Grosu
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques. CoRR (2023)
Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu
Multi-Agent Spatial Predictive Control with Application to Drone Flocking. ICRA (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 (2023)
Julian Lemmel, Radu Grosu
On the Benefits of Biophysical Synapses. CoRR (2023)
Daniel Scheuchenstuhl, Stefan Ulmer, Felix Resch, Luigi Berducci, Radu Grosu
Enhancing Robot Learning through Learned Human-Attention Feature Maps. CoRR (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 (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 (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) (2023)
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)
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
Learning Adaptive Safety for Multi-Agent Systems. CoRR (2023)
Sophie A. Neubauer, Radu Grosu
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques. Principles of Systems Design (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)
Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels. CoRR (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) (2022)
Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu
DeepSTL - From English Requirements to Signal Temporal Logic. ICSE (2022)
Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu
Towards Drone Flocking Using Relative Distance Measurements. ISoLA (3) (2022)
Luigi Berducci, Radu Grosu
Safe Policy Improvement in Constrained Markov Decision Processes. CoRR (2022)
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)
Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data. CoRR (2022)
Hamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. ICMLA (2022)
Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter
Entangled Residual Mappings. CoRR (2022)
Radu Grosu
Keynote Lecture Towards Neuro-Symbolic AI. ICCP (2022)
Luigi Berducci, Radu Grosu
Safe Policy Improvement in Constrained Markov Decision Processes. ISoLA (1) (2022)
Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu
Pruning by Active Attention Manipulation. CoRR (2022)
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 (2022)
Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu
End-to-End Sensitivity-Based Filter Pruning. CoRR (2022)
Paul Bogdan, Radu Grosu, Insup Lee
Introduction to the Special Issue on Internet-of-Medical-Things. ACM Trans. Comput. Heal. 3 (3) (2022)
Haris Isakovic, Stefan Dangl, Zlatan Tucakovic, Radu Grosu
Adaptive Signal Filtering Platform for a CPS/IoT Ecosystem. ICIT (2021)
Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR (2021)
Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
Adversarial Training is Not Ready for Robot Learning. CoRR (2021)
Haris Isakovic, Luis Lino Ferreira, Irmin Okic, Adam Dukkon, Zlatan Tucakovic, Radu Grosu
QoS for Dynamic Deployment of IoT Services. ICIT (2021)
Radu Grosu
Keynote Lecture : Neural circuit policies. ISPDC (2021)
Luca Cardelli, Radu Grosu, Kim G. Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin
Lumpability for Uncertain Continuous-Time Markov Chains. QEST (2021)
Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu
From English to Signal Temporal Logic. CoRR (2021)
Usama Mehmood, Scott D. Stoller, Radu Grosu, Shouvik Roy, Amol Damare, Scott A. Smolka
A Distributed Simplex Architecture for Multi-agent Systems. SETTA (2021)
Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca L. Grosu, Radu Grosu
3D-OOCS: Learning Prostate Segmentation with Inductive Bias. CoRR (2021)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Networks. AAAI (2021)
Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. CoRR (2021)
Edgar A. Aguilar, Luigi Berducci, Axel Brunnbauer, Radu Grosu, Dejan Nickovic
From STL Rulebooks to Rewards. CoRR (2021)
Usama Mehmood, Scott D. Stoller, Radu Grosu, Scott A. Smolka
Collision-Free 3D Flocking Using the Distributed Simplex Architecture. Formal Methods in Outer Space (2021)
Sophie Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu
GoTube: Scalable Stochastic Verification of Continuous-Depth Models. CoRR (2021)
Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari
Distributed Control for Flocking Maneuvers via Acceleration-Weighted Neighborhooding. ACC (2021)
Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
Adversarial Training is Not Ready for Robot Learning. ICRA (2021)
Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
On the Verification of Neural ODEs with Stochastic Guarantees. AAAI (2021)
Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. ICML (2021)
Radu Grosu, Anna Lukina, Scott A. Smolka, Ashish Tiwari, Vasudha Varadarajan, Xingfang Wang
V-Formation via Model Predictive Control. CoRR (2020)
Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari
Learning Distributed Controllers for V-Formation. ACSOS (2020)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Networks. CoRR (2020)
Dung T. Phan, Radu Grosu, Nils Jansen, Nicola Paoletti, Scott A. Smolka, Scott D. Stoller
Neural Simplex Architecture. NFM (2020)
Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
On The Verification of Neural ODEs with Stochastic Guarantees. CoRR (2020)
Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner, Md. Ariful Islam, Scott A. Smolka, Radu Grosu
Lagrangian Reachtubes: The Next Generation. CoRR (2020)
Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme. ICRA (2020)
Usama Mehmood, Scott D. Stoller, Radu Grosu, Shouvik Roy, Amol Damare, Scott A. Smolka
A Distributed Simplex Architecture for Multi-Agent Systems. CoRR (2020)
Xuelin Zhang, Xiaojian Xu, Xiaobin Xu, Diju Gao, Haibo Gao, Guodong Wang, Radu Grosu
Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule. Entropy 22 (7) (2020)
Usama Mehmood, Shouvik Roy, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari
Neural Flocking: MPC-Based Supervised Learning of Flocking Controllers. FoSSaCS (2020)
Radu Grosu
ResNets, NeuralODEs and CT-RNNs are Particular Neural Regulatory Networks. CoRR (2020)
Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner, Md. Ariful Islam, Scott A. Smolka, Radu Grosu
Lagrangian Reachtubes: The Next Generation. CDC (2020)
Haris Isakovic, Edgar Azpiazu Crespo, Radu Grosu
An Energy Sustainable CPS/IoT Ecosystem. SmartCity360° (2020)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. ICML (2020)
Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari
Learning Distributed Controllers for V-Formation. CoRR (2020)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu
Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. 2 (10) (2020)
Md. Ariful Islam, Rance Cleaveland, Flavio H. Fenton, Radu Grosu, Paul L. Jones, Scott A. Smolka
Probabilistic reachability for multi-parameter bifurcation analysis of cardiac alternans. Theor. Comput. Sci. 765 (2019)
Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers. CoRR (2019)
Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. IEEE Access 7 (2019)
Dung T. Phan, Nicola Paoletti, Radu Grosu, Nils Jansen, Scott A. Smolka, Scott D. Stoller
Neural Simplex Architecture. CoRR (2019)
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. CoRR (2019)
Guodong Wang, Anna Ledwoch, Ramin M. Hasani, Radu Grosu, Alexandra Brintrup
A generative neural network model for the quality prediction of work in progress products. Appl. Soft Comput. 85 (2019)
Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci
Adaptive Fault Detection exploiting Redundancy with Uncertainties in Space and Time. CoRR (2019)
Ramin M. Hasani, Guodong Wang, Radu Grosu
A Machine Learning Suite for Machine Components' Health-Monitoring. AAAI (2019)
Haris Isakovic, Vanja Bisanovic, Bernhard Wally, Thomas Rausch, Denise Ratasich, Schahram Dustdar, Gerti Kappel, Radu Grosu
Sensyml: Simulation Environment for large-scale IoT Applications. IECON (2019)
Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci
Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time. SASO (2019)
Haris Isakovic, Alexander Fasching, Lukas Punzenberger, Radu Grosu
CPS/IoT Ecosystem: Indoor Vertical Farming System. ISCT (2019)
Anna Lukina, Ashish Tiwari, Scott A. Smolka, Radu Grosu
Distributed adaptive-neighborhood control for stochastic reachability in multi-agent systems. SAC (2019)
Christian Hirsch, Ezio Bartocci, Radu Grosu
Capacitive Soil Moisture Sensor Node for IoT in Agriculture and Home. ISCT (2019)
Mathias Lechner, Ramin M. Hasani, Manuel Zimmer, Thomas A. Henzinger, Radu Grosu
Designing Worm-inspired Neural Networks for Interpretable Robotic Control. ICRA (2019)
Sophie Gruenbacher, Jacek Cyranka, Md. Ariful Islam, Max Tschaikowski, Scott A. Smolka, Radu Grosu
Under the Hood of a Stand-Alone Lagrangian Reachability Tool. ARCH@CPSIoTWeek (2019)
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. CoRR (2019)
Dung T. Phan, Nicola Paoletti, Timothy Zhang, Radu Grosu, Scott A. Smolka, Scott D. Stoller
Neural state classification for hybrid systems. SNR (2019)
Amit Gurung, Rajarshi Ray, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu
Parallel reachability analysis of hybrid systems in XSpeed. Int. J. Softw. Tools Technol. Transf. 21 (4) (2019)
Houssam Abbas, Alëna Rodionova, Konstantinos Mamouras, Ezio Bartocci, Scott A. Smolka, Radu Grosu
Quantitative Regular Expressions for Arrhythmia Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. IJCNN (2019)
Anna Lukina, Ashish Tiwari, Scott A. Smolka, Lukas Esterle, Junxing Yang, Radu Grosu
Resilient Control and Safety for Cyber-Physical Systems. MT@CPSWeek (2018)
Peter Tulala, Hamidreza Mahyar, Elahe Ghalebi K., Radu Grosu
Unsupervised Wafermap Patterns Clustering via Variational Autoencoders. IJCNN (2018)
Stefan Jaksic, Ezio Bartocci, Radu Grosu, Dejan Nickovic
An Algebraic Framework for Runtime Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (11) (2018)
Jacek Cyranka, Md. Ariful Islam, Scott A. Smolka, Sicun Gao, Radu Grosu
Tight Continuous-Time Reachtubes for Lagrangian Reachability. CDC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Radu Grosu