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Career

· Ph.D. Candidate in Electrical Engineering and Computer Science, UC Berkeley2025–
· PhD Student, UC Berkeley Berkeley Artificial Intelligence Research Lab (BAIR)2025–

Publications (16)

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Neural Information Processing Systems · 2020
3,107
cited
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust
Neuron · 2016
496
cited
Graphical User Interfaces
Encyclopedia of Database Systems · 1984
74
cited
Miniaturizing Ultrasonic System for Portable Health Care and Fitness
IEEE Transactions on Biomedical Circuits and Systems · 2015
39
cited
11.2 3D ultrasonic fingerprint sensor-on-a-chip
IEEE International Solid-State Circuits Conference · 2016
16
cited
Co-domain Symmetry for Complex-Valued Deep Learning
Computer Vision and Pattern Recognition · 2021
14
cited
How to guess a gradient
arXiv.org · 2023
7
cited
Learning to Transform for Generalizable Instance-wise Invariance
IEEE International Conference on Computer Vision · 2023
3
cited
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models
arXiv.org · 2022
3
cited
Test-Time Canonicalization by Foundation Models for Robust Perception
International Conference on Machine Learning · 2025
2
cited
2 3 D ultrasonic fingerprint sensor-ona-chip Conference
2016
1
cited
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing
IEEE International Joint Conference on Neural Network · 2022
1
cited
HyperReal: Complex-Valued Layer Functions For Complex-Valued Scaling Invariance
2020
LO represents motion and semantic categories in addition to object boundaries
Journal of Vision · 2019
The emerging field of bioelectronic medicine seeks methods for deciphering and modulating electrophysiological activity
2016
Variance Partitioning Reveals Consistent Representation of Object Boundary Contours in LO Across Different Datasets
2019
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Utkarsh Singhal | Researcher Profile | Sotabase | Sotabase