Lei Yang

On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding

2024 · arXiv (Cornell University)

Neural implicit fields, such as the neural signed distance field (SDF) of a shape, have emerged as a powerful representation for many applications, e.g., encoding a 3D shape and performing collision detection. Typically, implicit fields …

Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment

2024 · arXiv (Cornell University)

We introduce a novel task within the field of 3D dance generation, termed dance accompaniment, which necessitates the generation of responsive movements from a dance partner, the "follower", synchronized with the lead dancer's movements and …

Computational Performance Bounds Prediction in Quantum Computing with Unstable Noise

2025 · arXiv (Cornell University)

Quantum computing has significantly advanced in recent years, boasting devices with hundreds of quantum bits (qubits), hinting at its potential quantum advantage over classical computing. Yet, noise in quantum devices poses significant barriers to realizing …