5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.HC2026
HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation
Jiahao Xiong, Fei Wang, Anran Xu +4
Text-to-vibration generation converts natural language into haptic feedback, enabling vibration-effect designers to get scenarios-fitted vibrations more efficiently, which shows gr…
cs.LG2025★ 2 cited
Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields
Anran Xu, Lindsey J. Heagy
In this work, we employ neural fields, which use neural networks to map a coordinate to the corresponding physical property value at that coordinate, in a test-time learning manner…
cs.LG2023★ 5 cited
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network
Anran Xu, Lindsey J. Heagy
Regularization is critical for solving ill-posed geophysical inverse problems. Explicit regularization is often used, but there are opportunities to explore the implicit regulariza…