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muEDM: Towards a Search for the Muon Electric Dipole Moment at PSI Using the Frozen-spin Technique
(2022)JPS Conference Proceedings ~ Proceedings of the 24th International Spin Symposium (SPIN2021)The search for a permanent electric dipole moment (EDM) of the muon is an excellent probe for physics beyond the Standard Model of particle physics. We propose the first dedicated muon EDM search employing the frozen-spin technique at the Paul Scherrer Institute (PSI), Switzerland, with a sensitivity of 6 × 10^(-23) e·cm, improving the current best limit set by the E821 experiment at Brookhaven National Laboratory by more than three orders ...Conference Paper -
Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Dataset and Metrics
(2022)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Robot navigation in unstructured human environ- ments remains challenging when crowd density limits visibility and scene understanding like in malls, markets and airports. In this abstract, we present a new dataset of pedestrian interactions with a service robot with egocentric sensor data from RGBD, 3D LIDAR, force sensinsg, and robot state. Moreover, we aim to highly the need to consider real-life navigation data in order to define ...Conference Paper -
Co-creation in practice: from bottom up to top down
(2022)PoS: Proceedings of Science ~ Proceedings of Engaging Citizen Science Conference 2022Co-created citizen science projects are considered to enhance active, inclusive, and wide participation, and significantly improve the quality of public participation. However, fully co-created projects are still rare in citizen science (CS), where many projects aim primarily at overcoming the capacity of current research structures and involve participants only for the collection, and sometimes the analysis, of large-scale data. In ...Conference Paper -
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
(2022)6th Annual Conference on Robot LearningTo track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle's full surroundings. Yet, camera-based 3D object tracking methods prioritize optimizing the single-camera setup and resort to post-hoc fusion in a multi-camera setup. In this paper, we propose a method for panoramic 3D object tracking, called CC-3DT, that ...Conference Paper -
Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces
(2022)Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML 2022) - NeurIPS 2022Deep learning (DL) has been widely employed in brain--machine interfaces (BMIs) to decode subjects' intentions based on recorded brain activities enabling direct interaction with machines. BMI systems play a crucial role in medical applications and have recently gained an increasing interest as consumer-grade products. Failures in such systems might cause medical misdiagnoses, physical harm, and financial loss. Especially with the current ...Conference Paper -
Radiation tolerance of diamond detectors
(2022)Journal of Physics: Conference SeriesDiamond is used as detector material in high energy physics experiments due to its inherent radiation tolerance. The RD42 collaboration has measured the radiation tolerance of chemical vapour deposition (CVD) diamond against proton, pion, and neutron irradiation. Results of this study are summarized in this article. The radiation tolerance of diamond detectors can be further enhanced by using a 3D electrode geometry. We present preliminary ...Conference Paper -
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
(2022)MATH-AI: Toward Human-Level Mathematical Reasoning. Accepted PapersWe have recently witnessed a number of impressive results on hard mathematical reasoning problems with large language models (LLMs). At the same time, the robustness of these models has also been called into question.Building on the idea of behavioral testing, we propose a novel framework, which pins down the causal effect of each factor in the input, e.g., the surface form of the problem text, the operands, and math operators, on the ...Conference Paper -
Random initialisations performing above chance and how to find them
(2022)OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop)Neural networks trained with stochastic gradient descent (SGD) starting from different random initialisations typically find functionally very similar solutions, raising the question of whether there are meaningful differences between different SGD solutions. Entezari et al. recently conjectured that despite different initialisations, the solutions found by SGD lie in the same loss valley after taking into account the permutation invariance ...Conference Paper -
Electron-phonon calculations using a Wannier-based supercell approach: Applications to the monolayer MoS2
(2022)Solid-State ElectronicsWe present a first-principles method to calculate electron-phonon coupling elements in atomic systems, and showcase its application to the evaluation of the phonon-limited mobility of n-type single-layer MoS2. The method combines a density functional theory (DFT) plane-wave supercell approach with a real-space maximally localized Wannier basis. It enables the calculation of electronic structure, phonon displacements with their corresponding ...Conference Paper -
Atmospheric retrievals of exoplanets using learned parameterizations of pressure-temperature profiles
(2022)We describe a new, learning-based approach for parameterizing the relationship between pressure and temperature in the atmosphere of an exoplanet. Our method can be used, for example, when estimating the parameters characterizing a planet's atmosphere from an observation of its spectrum with Bayesian inference methods (“atmospheric retrieval”). On two data sets, we show that our method requires fewer parameters and achieves, on average, ...Conference Paper