226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Toyota Research Institute8 papers
- Massachusetts Institute of TechnologyUS5 papers
- Toyota Central Research and Development Laboratories (Japan)JP5 papers
- Keio UniversityJP4 papers
- University of California, BerkeleyUS4 papers
- University of MichiganUS3 papers
- Ann Arbor Center for Independent LivingUS2 papers
- Columbia UniversityUS2 papers
- Georgia State UniversityUS2 papers
- IBM Research - TokyoJP2 papers
- Infotech Soft (United States)US2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
10 papers · 1 filter
Interpretable Multimodal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions
Tanaporn Na Narong, Zoe N. Zachko, Steven B. Torrisi +1
We used interpretable machine learning to combine information from multiple heterogeneous spectra: X-ray absorption near-edge spectra (XANES) and atomic pair distribution functions…
In-Materia Speech Recognition
Mohamadreza Zolfagharinejad, Julian Büchel, Lorenzo Cassola +4
With the rise of decentralized computing, as in the Internet of Things, autonomous driving, and personalized healthcare, it is increasingly important to process time-dependent sign…
Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions
Saeed Rahmani, Sabine Rieder, Erwin de Gelder +6
Automated vehicles (AVs) promise to enhance transportation safety and efficiency. However, ensuring their reliability in real-world conditions remains challenging, particularly due…
Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer +4
Urban air pollution hotspots pose significant health risks, yet their detection and analysis remain limited by the sparsity of public sensor networks. This paper addresses this cha…
Quantum algorithm for partial differential equations of non-conservative systems with spatially varying parameters
Yuki Sato, Hiroyuki Tezuka, Ruho Kondo +1
Partial differential equations (PDEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineerin…
Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida +2
Collecting time series data spatially distributed in many locations is often important for analyzing climate change and its impacts on ecosystems. However, comprehensive spatial da…
Simulating optically-active spin defects with a quantum computer
Jack S. Baker, Pablo A. M. Casares, Modjtaba Shokrian Zini +5
There is a pressing need for more accurate computational simulations of the opto-electronic properties of defects in materials to aid in the development of quantum sensing platform…
Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits
Yuki Sato, Ruho Kondo, Ikko Hamamura +2
Solving partial differential equations for extremely large-scale systems within a feasible computation time serves in accelerating engineering developments. Quantum computing algor…
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
Max Bajracharya, James Borders, Richard Cheng +11
We present our general-purpose mobile manipulation system consisting of a custom robot platform and key algorithms spanning perception and planning. To extensively test the system…
Shell topology optimization based on level set method
Hiroki Kobayashi, Katsuya Nomura, Yuqing Zhou +3
This paper proposes a level set-based method for optimizing shell structures with large design changes in shape and topology. Conventional shell optimization methods, whether param…