Recent Submissions 

  1. Generalizing Off-Policy Learning under Sample Selection Bias 

    Hatt, Tobias; Tschernutter, Daniel; Feuerriegel, Stefan (2022)
    Conference Paper
  2. Interpretable Off-Policy Learning via Hyperbox Search 

    Tschernutter, Daniel; Hatt, Tobias; Feuerriegel, Stefan (2022)
    Conference Paper
  3. High-Conductance, Ohmic-like HfZrO4 Ferroelectric Memristor 

    Bégon-Lours, Laura; Halter, Mattia; Popoff, Youri; et al. (2021)
    ESSDERC 2021 - IEEE 51st European Solid-State Device Research Conference (ESSDERC)
    The persistent and switchable polarization of ferroelectric materials based on HfO2-based ferroelectric compounds, compatible with large-scale integration, are attractive synaptic elements for neuromorphic computing. To achieve a record current density of 0.01 A/cm(2) (at a read voltage of 80 mV) as well as ideal memristive behavior (linear current-voltage relation and analog resistive switching), devices based on an ultra-thin (2.7 nm ...
    Conference Paper
  4. 2QoSM: A Q-Learner QoS Manager for Application-Guided Power-Aware Systems 

    Giardino, Michael J.; Schwyn, Daniel; Ferri, Bonnie; et al. (2021)
    2021 IEEE 14TH INTERNATIONAL SYMPOSIUM ON EMBEDDED MULTICORE/MANY-CORE SYSTEMS-ON-CHIP (MCSOC 2021)
    This paper describes the design and performance of Q-learning-based quality-of-service manager (2QoSM) for compute-aware applications (CAAs) as part of platform-agnostic resource management framework. CAAs and hardware are able to share metrics of performance with the 2QoSM and the 2QoSM can attempt to reconfigure CAAs and hardware to meet performance targets. This enables many co-design benefits while allowing for policy and platform ...
    Conference Paper
  5. Preliminary design of actuators for waling robot on the Moon 

    Valsecchi, Giorgio; Liconti, Davide; Tischhauser, Fabian; et al. (2022)
    Legged robots have been proposed as a possible alternative to wheeled systems for accessing so-far hard to reach locations in our solar system. However, despite promising results in this field, significant challenges have to be solved before deployment. In particular, the actuation of walking robots in space is still an open engineering question. In this work, we focus on actuation of space-legged robots and propose a preliminary actuator ...
    Conference Paper
  6. HeadPosr: End-to-end Trainable Head Pose Estimation using Transformer Encoders 

    Dhingra, Naina (2021)
    2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
    Head pose estimation (HPE) is the task of estimating head pose given an RGB image, video, or RGB-D data. In this paper, a network, HeadPosr is proposed to predict the head poses using a single RGB image. HeadPosr uses a novel architecture which includes a transformer encoder. In concrete, it consists of: (1) backbone; (2) connector; (3) transformer encoder; (4) prediction head. The significance of using a transformer encoder for HPE is ...
    Conference Paper
  7. Unsupervised Compound Domain Adaptation for Face Anti-Spoofing 

    Panwar, Ankush; Singh, Pratyush; Saha, Suman; et al. (2021)
    2021 16TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2021)
    We address the problem of face anti-spoofing which aims to make the face verification systems robust in the real world settings. The context of detecting live vs. spoofed face images may differ significantly in the target domain, when compared to that of labeled source domain where the model is trained. Such difference may be caused due to new and unknown spoof types, illumination conditions, scene backgrounds, among many others. These ...
    Conference Paper
  8. Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality 

    Einsiedler, Johanna; Cheng, Yun; Papst, Franz; et al. (2021)
    2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)
    The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality, and how much pollution reduction can the society offer through digitalization and mobility-limiting policies. In this work, we estimate pollution reduction over the lockdown period by using the measurements from ground air pollution monitoring networks, training long-term prediction models ...
    Conference Paper
  9. Improving the Generalization Capability of DNNs for Ultra-low Power Autonomous Nano-UAVs 

    Cereda, Elia; Ferri, Marco; Mantegazza, Dario; et al. (2021)
    2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)
    Deep neural networks (DNNs) are becoming the first-class solution for autonomous unmanned aerial vehicles (UAVs) applications, especially for tiny, resource-constrained, nano-UAVs, with a few tens of grams in weight and subten centimeters in diameter. DNN visual pipelines have been proven capable of delivering high intelligence aboard nano-UAVs, efficiently exploiting novel multi-core microcontroller units. However, one severe limitation ...
    Conference Paper
  10. Towards On-demand Gas Sensing 

    Gherman, Markus-Philipp; Cheng, Yun; Gomez, Andres; et al. (2021)
    2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)
    Low-power operation of power-hungry MOX sensors is usually achieved by duty cycling them periodically. However, a difficulty arises if a sensor is operated at irregular time intervals due to intermittent energy availability in energy-neutral or batteryless applications. In this work, we propose a compensation method which re-maps on-demand measurements to virtually duty-cycled readings in the value domain by taking the duration of the ...
    Conference Paper
  11. Steady state lasing in strained germanium microbridges as fundamental measure for the crossover to direct band gap 

    Pilon, F. T. Armand; Niquet, Y-M; Chretien, J.; et al. (2021)
    2021 IEEE 17TH INTERNATIONAL CONFERENCE ON GROUP IV PHOTONICS (GFP 2021)
    The realization of a laser on silicon (Si) from group IV materials is a long-cherished wish of the semiconductor industry; it would enable the mass production of photonic systems at low cost. However, the path towards an efficient light emitter requires material with a direct band gap, in line with all the typical group III-V lasers platforms [1-4]. Such configuration can be achieved by loading Ge with tensile strain [5] by alloying with ...
    Conference Paper
  12. Enhanced Stability of Resonant Racetrack Plasmonic-Organic-Hybrid Modulators 

    Eppenberger, Marco; Bitachon, Bertold Ian; Messner, Andreas; et al. (2022)
    Technical Digest Series ~ 2022 Optical Fiber Communications Conference and Exhibition (OFC)
    A high-speed and compact plasmonic organic racetrack modulator is shown to be orders of magnitude more robust against operating condition changes compared to resonant modulators based on the plasma dispersion effect while maintaining thermal tunability. Stable operation at 80°C is shown with no degradation.
    Conference Paper
  13. Robust Indoor Localization with ADS-B 

    Canals, Alexander; Josephy, Pascal; Tanner, Simon; et al. (2021)
    MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking
    Conference Paper
  14. Cyclic Arbitrage in Decentralized Exchanges 

    Wang, Ye; Chen, Yan; Wu, Haotian; et al. (2022)
    Conference Paper
  15. Optimal Global Path Planning for Multimodel Locomotion on Lunar Terrain 

    Wells, Sandra C.; Zhang, Peter; Kolvenbach, Hendrik; et al. (2022)
    Identifying robotic traverses on the surface of other celestial bodies is essential to assess the capabilities of the required system at the mission planning stage. With increasingly diverse robotic systems designs for space, including wheeled, walking, and multimodal systems, a wider range of behaviors concerning electrical energy consumption and failure risk are becoming available. Thus, it becomes necessary to define path optimality ...
    Conference Paper
  16. Teaching Biology with Narratives: Insights in Students’ Understanding of Molecular Interactions 

    Tobler, Samuel; Köhler, Katja; Sinha, Tanmay; et al. (2022)
    Using analogies in science education is a broadly acknowledged method to better convey abstract concepts, even though analogies can also lead to misconceptions if not used properly. Narratives instead could be helpful to tackle such misconceptions by inducing students’ dissatisfactions with their explanations. To investigate the potential of narratives compared to expository texts on refuting misconceptions, we examined students' understanding ...
    Conference Paper
  17. Search for the muon electric dipole moment using frozen-spin technique at PSI 

    Khaw K.S.; Adelmann A.; Backhaus M.; et al. (2022)
    PoS: Proceedings of Science
    The presence of a permanent electric dipole moment in an elementary particle implies Charge-Parity symmetry violation and thus could help explain the matter-antimatter asymmetry observed in our universe. Within the context of the Standard Model, the electric dipole moment of elementary particles is extremely small. However, many Standard Model extensions such as supersymmetry predict large electric dipole moments. Recently, the muon ...
    Conference Paper
  18. DupeFS: Leaking Data Over the Network With Filesystem Deduplication Side Channels 

    Bacs, Andrei; Musaev, Saidgani; Razavi, Kaveh; et al. (2022)
    Conference Paper
  19. ditto: WAN Traffic Obfuscation at Line Rate 

    Meier, Roland; Lenders, Vincent; Vanbever, Laurent (2022)
    Conference Paper
  20. Kasper: Scanning for Generalized Transient Execution Gadgets in the Linux Kernel 

    Johannesmeyer, Brian; Koschel, Jakob; Razavi, Kaveh; et al. (2022)
    Conference Paper

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