Lorenzo Servadei

92 papers A* 1A 5C 7Misc 4Journal 49Unranked 26
YearRankTypeTitle / Venue / Authors
2025 — conf
4D mmWave Radar for Sensing Enhancement in Adverse Environments: Advances and Challenges.
ITSC
Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2025 J jnl
4D mmWave Radar in Adverse Environments for Autonomous Driving: A Survey.
CoRR
Xiangyuan Peng, Miao Tang, Huawei Sun, Lorenzo Servadei, Robert Wille
2025 J jnl
Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition.
CoRR
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2025 A conf
ELMAR: Enhancing LiDAR Detection with 4D Radar Motion Awareness and Cross-modal Uncertainty.
IROS
Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2025 J jnl
ELMAR: Enhancing LiDAR Detection with 4D Radar Motion Awareness and Cross-modal Uncertainty.
CoRR
Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2025 J jnl
Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation.
IEEE Access
Alessandra Fusco, Zain Amir Zaman, Souvik Hazra, Lorenzo Servadei, Robert Wille
2025 J jnl
Exploiting Benford's Law for Weight Regularization of Deep Neural Networks.
Trans. Mach. Learn. Res.
Julius Ott, Huawei Sun, Enrico Rinaldi, Gianfranco Mauro, Lorenzo Servadei, Robert Wille
2025 J jnl
Feature Identification for Hierarchical Contrastive Learning.
CoRR
Julius Ott, Nastassia Vysotskaya, Huawei Sun, Lorenzo Servadei, Robert Wille
2025 — conf
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification.
MLCAD
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
2025 J jnl
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification.
CoRR
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
2025 A conf
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling.
WACV
Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
2025 J jnl
GenFacts-Generative Counterfactual Explanations for Multi-Variate Time Series.
CoRR
Sarah Seifi, Anass Ibrahimi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2025 — conf
Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2025 J jnl
Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition.
CoRR
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2025 Misc conf
LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance.
ICASSP
Huawei Sun, Nastassia Vysotskaya, Tobias Sukianto, Hao Feng, Julius Ott, Xiangyuan Peng, Lorenzo Servadei, Robert Wille
2025 J jnl
Locality-aware Surrogates for Gradient-based Black-box Optimization.
CoRR
Ali Momeni, Stefan Uhlich, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Ryoga Matsuo, Eisaku Ohbuchi, Lorenzo Servadei
2025 — conf
MoRAL: Motion-Aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection.
ITSC
Xiangyuan Peng, Yu Wang, Miao Tang, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2025 J jnl
MoRAL: Motion-aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection.
CoRR
Xiangyuan Peng, Yu Wang, Miao Tang, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2025 C conf
Modelling of a DC-DC Boost Converter in QRM and Design of Neural Network-Based Nonlinear Control.
CoDIT
Zhi Li, Benjamin Schwabe, Lorenzo Servadei, Robert Wille
2025 Misc conf
MutualForce: Mutual-Aware Enhancement for 4D Radar-LiDAR 3D Object Detection.
ICASSP
Xiangyuan Peng, Huawei Sun, Kay Bierzynski, Anton Fischbacher, Lorenzo Servadei, Robert Wille
2025 J jnl
MutualForce: Mutual-Aware Enhancement for 4D Radar-LiDAR 3D Object Detection.
CoRR
Xiangyuan Peng, Huawei Sun, Kay Bierzynski, Anton Fischbacher, Lorenzo Servadei, Robert Wille
2025 — conf
Schemato - An LLM for Netlist-to-Schematic Conversion.
MLCAD
Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2025 J jnl
SpiceMixer - Netlist-Level Circuit Evolution.
CoRR
Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Chia-Yu Hsieh, Mustafa Emre Gürsoy, Ryoga Matsuo, Lorenzo Servadei
2025 J jnl
TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation.
CoRR
Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
2025 J jnl
TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation.
Trans. Mach. Learn. Res.
Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
2025 J jnl
XD-RCDepth: Lightweight Radar-Camera Depth Estimation with Explainability-Aligned and Distribution-Aware Distillation.
CoRR
Huawei Sun, Zixu Wang, Xiangyuan Peng, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
2024 A conf
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation.
IROS
Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
2024 J jnl
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation.
CoRR
Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
2024 J jnl
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.
CoRR
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 — conf
Efficient Post-training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.
SAMOS
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 C conf
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications.
IV
Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
2024 J jnl
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications.
CoRR
Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
2024 J jnl
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling.
CoRR
Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
2024 J jnl
GraCo - A Graph Composer for Integrated Circuits.
CoRR
Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Ali Momeni, Ryoga Matsuo, Chia-Yu Hsieh, Eisaku Ohbuchi, Lorenzo Servadei
2024 — conf
Harnessing Temporal Information for Efficient Edge AI.
FMEC
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 J jnl
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI.
CoRR
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2024 J jnl
Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI.
IEEE Access
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 J jnl
LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance.
CoRR
Huawei Sun, Nastassia Vysotskaya, Tobias Sukianto, Hao Feng, Julius Ott, Xiangyuan Peng, Lorenzo Servadei, Robert Wille
2024 J jnl
Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures.
IEEE Internet Things J.
Thomas Stadelmayer, Youcef Hassab, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz
2024 J jnl
MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection.
CoRR
Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2024 — conf
MUFASA: Multi-view Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection.
ICANN (2)
Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2024 J jnl
Schemato - An LLM for Netlist-to-Schematic Conversion.
CoRR
Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2024 J jnl
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks.
CoRR
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 — conf
Thinking Outside the Clock: Physical Design for Field-coupled Nanocomputing with Deep Reinforcement Learning.
ISQED
Simon Toni Hofmann, Marcel Walter, Lorenzo Servadei, Robert Wille
2024 — conf
Wave Dynamic Time Warping Algorithm for Periodic Signal Similarity Estimation.
IEEE SENSORS
Evgenia Slivko, Gianfranco Mauro, Kay Bierzynski, Lorenzo Servadei, Robert Wille
2024 — conf
XentricAI: A Gesture Sensing Calibration Approach Through Explainable and User-Centric AI.
xAI (3)
Sarah Seifi, Tobias Sukianto, Maximilian Strobel, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2023 J jnl
A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications.
ACM Trans. Design Autom. Electr. Syst.
Daniela Sánchez, Lorenzo Servadei, Gamze Naz Kiprit, Robert Wille, Wolfgang Ecker
2023 J jnl
Context-adaptable radar-based people counting via few-shot learning.
Appl. Intell.
Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos
2023 J jnl
Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar - A Feasibility Study.
Sensors
Nastassia Vysotskaya, Christoph Will, Lorenzo Servadei, Noah Maul, Christian Mandl, Merlin A. Nau, Jens Harnisch, Andreas Maier
2023 J jnl
Deep Reinforcement Learning for Optimization at Early Design Stages.
IEEE Des. Test
Lorenzo Servadei, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
2023 J jnl
Detection of Sensor-To-Sensor Variations using Explainable AI.
CoRR
Sarah Seifi, Sebastian A. Schober, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
2023 J jnl
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing.
Sensors
Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos
2023 A* conf
Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies.
DAC
Simon Toni Hofmann, Marcel Walter, Lorenzo Servadei, Robert Wille
2023 Misc conf
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling.
ICASSP
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
2023 — conf
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection.
ITSC
Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille
2023 J jnl
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection.
CoRR
Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille
2023 — conf
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning.
RWS
Thomas Stadelmayer, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz
2023 J jnl
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing.
CoRR
Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2023 J jnl
Time series quantum classifiers with amplitude embedding.
Quantum Mach. Intell.
Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei
2022 J jnl
Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Rana Elnaggar, Lorenzo Servadei, Shubham Mathur, Robert Wille, Wolfgang Ecker, Krishnendu Chakrabarty
2022 — conf
Compact High-Performance Vibration Sensor Based on Single-Backplate MEMS Technology.
IEEE SENSORS
Somu Goswami, Christian Bretthauer, Andreas Bogner, Abhiraj Basavanna, Sebastian Anzinger, Marco Haubold, Gunar Lorenz, Johann Strasser, Daniel Weber, Lorenzo Servadei, Robert Wille
2022 — conf
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition.
SAM
Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
2022 J jnl
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition.
CoRR
Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
2022 J jnl
Early RTL delay prediction using neural networks.
Microprocess. Microsystems
Daniela Sanchez Lopera, Lorenzo Servadei, Sebastian Siegfried Prebeck, Wolfgang Ecker
2022 — conf
Explainable AI for Gas Sensors.
IEEE SENSORS
Sanghamitra Chakraborty, Simon Mittermaier, Cecilia Carbonelli, Lorenzo Servadei
2022 J jnl
Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge.
IEEE Access
Gianfranco Mauro, Mateusz Chmurski, Lorenzo Servadei, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos
2022 J jnl
Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation.
Sensors
Rodrigo Hernangómez, Tristan Visentin, Lorenzo Servadei, Hamid Khodabakhshandeh, Slawomir Stanczak
2022 Misc conf
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar.
ICASSP
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
2022 J jnl
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling.
CoRR
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
2022 C conf
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.
ICMLA
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
2022 J jnl
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.
CoRR
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
2022 — conf
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy.
EUSIPCO
Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak
2022 J jnl
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy.
CoRR
Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak
2022 C conf
Utilizing Explainable AI for improving the Performance of Neural Networks.
ICMLA
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille
2022 J jnl
Utilizing Explainable AI for improving the Performance of Neural Networks.
CoRR
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra
2021 — conf
A Survey of Graph Neural Networks for Electronic Design Automation.
MLCAD
Daniela Sanchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit, Souvik Hazra, Robert Wille, Wolfgang Ecker
2021 J jnl
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar.
CoRR
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
2021 — conf
RTL Delay Prediction Using Neural Networks.
NorCAS
Daniela Sanchez Lopera, Lorenzo Servadei, Vishwa Priyanka Kasi, Sebastian Siegfried Prebeck, Wolfgang Ecker
2020 J jnl
Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation.
IEEE Trans. Computers
Lorenzo Servadei, Edoardo Mosca, Elena Zennaro, Keerthikumara Devarajegowda, Michael Werner, Wolfgang Ecker, Robert Wille
2020 — conf
Automatic compiler optimization on embedded software through k-means clustering.
MLCAD
Michael Werner, Lorenzo Servadei, Robert Wille, Wolfgang Ecker
2020 — conf
Cost Estimation for Configurable Model-Driven SoC Designs Using Machine Learning.
ACM Great Lakes Symposium on VLSI
Lorenzo Servadei, Edoardo Mosca, Keerthikumara Devarajegowda, Michael Werner, Wolfgang Ecker, Robert Wille
2020 — conf
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning.
MLCAD
Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
2020 C conf
Optimized HW/FW Generation from an Abstract Register Interface Model.
DSD
Michael Werner, Igli Zeraliu, Zhao Han, Sebastian Siegfried Prebeck, Lorenzo Servadei, Wolfgang Ecker
2020 — conf
SoC Design Automation with ML - It's Time for Research.
MLCAD
Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera, Rituj Patel, Lorenzo Servadei, Sahil Singla, Sven Wenzek, Vijaydeep Yadav, Elena Zennaro
2019 A conf
Accurate Cost Estimation of Memory Systems Inspired by Machine Learning for Computer Vision.
DATE
Lorenzo Servadei, Elena Zennaro, Keerthikumara Devarajegowda, Martin Manzinger, Wolfgang Ecker, Robert Wille
2019 A conf
Embedded Systems' Automation following OMG's Model Driven Architecture Vision.
DATE
Wolfgang Ecker, Keerthikumara Devarajegowda, Michael Werner, Zhao Han, Lorenzo Servadei
2019 C conf
Formal Verification Methodology in an Industrial Setup.
DSD
Lorenzo Servadei, Zhao Han, Michael Werner, Wolfgang Ecker, Keerthikumara Devarajegowda
2019 J jnl
Using Machine Learning for predicting area and Firmware metrics of hardware designs from abstract specifications.
Microprocess. Microsystems
Lorenzo Servadei, Elena Zennaro, Tobias Fritz, Keerthikumara Devarajegowda, Wolfgang Ecker, Robert Wille
2018 C conf
A Machine Learning Approach for Area Prediction of Hardware Designs from Abstract Specifications.
DSD
Elena Zennaro, Lorenzo Servadei, Keerthikumara Devarajegowda, Wolfgang Ecker
2018 — conf
Quality Assessment of Generated Hardware Designs Using Statistical Analysis and Machine Learning.
CIMA@ICTAI
Lorenzo Servadei, Elena Zennaro, Keerthikumara Devarajegowda, Wolfgang Ecker, Robert Wille
2017 — conf
Medical Monkeys: A Crowdsourcing Approach to Medical Big Data.
OTM Workshops
Lorenzo Servadei, Rainer Schmidt, Christina Eidelloth, Andreas Maier
2016 — conf
Artificial Neural Network for Supporting Medical Decision Making: A Decision Model and Notation Approach to Spondylolisthesis and Disk Hernia.
OTM Workshops
Lorenzo Servadei, Rainer Schmidt, Florian Bär