4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Scaling Laws for Neural Material Models
Akshay Trikha, Kyle Chu, Advait Gosai +2
Predicting material properties is crucial for designing better batteries, semiconductors, and medical devices. Deep learning helps scientists quickly find promising materials by pr…
cs.NE2020★ 4 cited
You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy
Srivatsa P, Kyle Timothy Ng Chu, Burin Amornpaisannon +6
In the past decade, advances in Artificial Neural Networks (ANNs) have allowed them to perform extremely well for a wide range of tasks. In fact, they have reached human parity whe…