13 papers
Multi-modal transformer for signal classification in nanopore blockade experiments
Sandro Kuppel, Julian HoÃbach, Samuel Tovey +1
Nanopore devices have emerged as powerful tools for single-molecule sensing, with potential for rapid, portable diagnostics. They detect changes in ionic current as analytes enter…
From Rubble Simulation to Active Magnetic Mapping: Quantum Sensing for Disaster Response
Samuel Tovey, Stefan Prestel, Hiroshi Yamauchi
Locating survivors of building collapses within the first 72 hours is a critical challenge in disaster response, and existing sensing modalities provide only partial information ab…
Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries
Jannik Drotleff, Samuel Tovey, Paul Hohenberger +4
Autonomous microrobots navigating biological vasculature could enable targeted drug delivery and thrombolysis, yet training control policies for realistic environments remains an o…
Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf +2
Neural scaling laws describe predictable power-law relationships between model size, dataset size, compute, and performance. While these laws guide the development of modern founda…
Sequential Spatiotemporal Magnetic-Field Reconstruction via Quantum Hamiltonian Learning with NV-Center Spin-1 Hamiltonians
Hiroshi Yamauchi, Sophie Colleen Stearn, Samuel Tovey
We propose a quantum-Hamiltonian-learning-based sequential reconstruction framework for dynamic two-dimensional magnetic-field maps using a local likelihood model derived from a ni…
Reservoir computing from collective dynamics of active colloidal oscillators
Veit-Lorenz Heuthe, Lukas Seemann, Samuel Tovey +1
Physical reservoir computing is a computational framework that offers an energy- and computation-efficient alternative to conventional training of neural networks. In reservoir com…