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Kai Biegun

2 accepted papers

2026

Maximum-Likelihood Learning of Latent Dynamics Without Reconstruction

ICML 2026poster

We address the challenge of uncovering systematic, and potentially controllable, dynamical structure underlying complex high-dimensional time series data. Existing generative and autoregressive models have difficulty telling systematic content apart from distractors, while contrastive methods strugg…

Cited by 0SourceScholar
2025

MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans

NeurIPS 2025poster

Recent advancements in bionic prosthetic technology offer transformative opportunities to restore mobility and functionality for individuals with missing limbs. Users of bionic limbs, or bionic humans, learn to seamlessly integrate prosthetic extensions into their motor repertoire, regaining critica…

Cited by 0SourceScholar