no code implementations • 9 Apr 2024 • Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
Radar and camera fusion yields robustness in perception tasks by leveraging the strength of both sensors.
no code implementations • 12 Mar 2024 • Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
For an ECG classification task, it was able to terminate all samples early, reducing the mean inference energy by 74. 9% and computations by 78. 3%.
no code implementations • 12 Mar 2024 • Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
These findings highlight the importance of considering temporal correlation in sensor data to improve the termination decision.
no code implementations • 11 Sep 2023 • Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Radar sensors offer power-efficient solutions for always-on smart devices, but processing the data streams on resource-constrained embedded platforms remains challenging.
no code implementations • 17 Jul 2023 • Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille
In addition, we introduce a Multi-Task Cross-Modality Attention-Fusion Network (MCAF-Net) for object detection, which includes two new fusion blocks.
no code implementations • 19 Jun 2023 • Sarah Seifi, Sebastian A. Schober, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
This study proposes a novel approach for detecting sensor-to-sensor variations in sensing devices using the explainable AI (XAI) method of SHapley Additive exPlanations (SHAP).
2 code implementations • 8 Dec 2022 • Nils Quetschlich, Lukas Burgholzer, Robert Wille
Any quantum computing application, once encoded as a quantum circuit, must be compiled before being executable on a quantum computer.
no code implementations • 26 Oct 2022 • Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
There, we show that our method outperforms related Meta-RL approaches on unseen tracking scenarios in peak performance by 16% and the baseline by 35% while detecting OOD data with an F1-Score of 72%.
1 code implementation • 24 Oct 2022 • Julius Ott, Lorenzo Servadei, Jose Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sánchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
This is enabled by the uncertainty estimation of the Q-Value function, which guides the sampling to explore more significant transitions and, thus, learn a more efficient policy.
no code implementations • 7 Oct 2022 • Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra
To address this, Explainable Artificial Intelligence (XAI) has been developing as a field that aims to improve the transparency of the model and increase their trustworthiness.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 31 Mar 2022 • Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
Gesture recognition is one of the most intuitive ways of interaction and has gathered particular attention for human computer interaction.
1 code implementation • 12 Oct 2021 • Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
In this paper, we introduce the Label-Aware Ranked loss, a novel metric loss function.
no code implementations • 10 Dec 2020 • Stefan Hillmich, Richard Kueng, Igor L. Markov, Robert Wille
Quantum computers promise to solve important problems faster than conventional computers.
Quantum Physics
2 code implementations • 10 Dec 2020 • Thomas Grurl, Richard Kueng, Jürgen Fuß, Robert Wille
Recent years have seen unprecedented advance in the design and control of quantum computers.
Quantum Physics
no code implementations • 10 Dec 2020 • Thomas Grurl, Jürgen Fuß, Robert Wille
However, most of those simulators mimic perfect quantum computers and, hence, ignore the fragile nature of quantum mechanical effects which frequently yield to decoherence errors in real quantum devices.
Quantum Physics
no code implementations • 3 Dec 2020 • Lukas Burgholzer, Robert Wille, Richard Kueng
In this work, we consider error detection via simulation for reversible circuit architectures.
Hardware Architecture Emerging Technologies
1 code implementation • 14 Nov 2020 • Lukas Burgholzer, Richard Kueng, Robert Wille
Verification of quantum circuits is essential for guaranteeing correctness of quantum algorithms and/or quantum descriptions across various levels of abstraction.
Quantum Physics Emerging Technologies
2 code implementations • 4 Sep 2020 • Lukas Burgholzer, Rudy Raymond, Robert Wille
In this paper, we propose an efficient scheme for quantum circuit equivalence checking---specialized for verifying results of the IBM Qiskit quantum circuit compilation flow.
Quantum Circuit Equivalence Checking Quantum Physics
no code implementations • 30 Jul 2020 • Stefan Hillmich, Igor L. Markov, Robert Wille
In this work, we focus on weak simulation that aims to produce outputs which are statistically indistinguishable from those of error-free quantum computers.
Quantum Physics
1 code implementation • 17 Apr 2020 • Lukas Burgholzer, Robert Wille
Experimental evaluations confirm that the resulting methodology allows one to conduct equivalence checking dramatically faster than ever before--in many cases just a single simulation run is sufficient.
Quantum Circuit Equivalence Checking Quantum Physics Emerging Technologies
1 code implementation • 3 Jul 2019 • Robert Wille, Lukas Burgholzer, Alwin Zulehner
By this, we do not only provide a method that maps quantum circuits to IBM's QX architectures with a minimal number of SWAP and H operations, but also show by experimental evaluation that the number of operations added by IBM's heuristic solution exceeds the lower bound by more than 100% on average.
Quantum Circuit Mapping Quantum Physics
3 code implementations • 7 May 2019 • Marcel Walter, Robert Wille, Frank Sill Torres, Daniel Große, Rolf Drechsler
As a class of emerging post-CMOS technologies, Field-coupled Nanocomputing (FCN) devices promise computation with tremendously low energy dissipation.
Emerging Technologies
no code implementations • 4 Jul 2017 • Alwin Zulehner, Robert Wille
There also exist solutions based on decision diagrams (i. e. graph-based approaches) that try to tackle the exponential complexity by exploiting redundancies in quantum states and operations.
Quantum Physics Emerging Technologies