3 citations · 6 across the 10 of their papers we have counts for
5 papers · 1 filter
Beyond Pixels: A Differentiable Pipeline for Probing Neuronal Selectivity in 3D
Pavithra Elumalai, Mohammad Bashiri, Goirik Chakrabarty +2
Visual perception relies on inference of 3D scene properties such as shape, pose, and lighting. To understand how visual sensory neurons enable robust perception, it is crucial to…
Efficient many-jet event generation with Flow Matching
Enrico Bothmann, Timo Janßen, Max Knobbe +2
We apply for the first time the Flow Matching method to the problem of phase-space sampling for event generation in high-energy collider physics. By training the model to remap the…
Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
Sara Rajaram, R. James Cotton, Fabian H. Sinz
Preference-based Reinforcement Learning (PbRL) entails a variety of approaches for aligning models with human intent to alleviate the burden of reward engineering. However, most pr…
TRACE: Contrastive learning for multi-trial time-series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm +9
Modern neural recording techniques such as two-photon imaging or Neuropixel probes allow to acquire vast time-series datasets with responses of hundreds or thousands of neurons. Co…
Biomechanical Reconstruction with Confidence Intervals from Multiview Markerless Motion Capture
R. James Cotton, Fabian Sinz
Advances in multiview markerless motion capture (MMMC) promise high-quality movement analysis for clinical practice and research. While prior validation studies show MMMC performs…