155 citations · 505 across the 15 of their papers we have counts for
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cs.LG2023★ 9 cited
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
Minyoung Huh, Brian Cheung, Pulkit Agrawal +1
This work examines the challenges of training neural networks using vector quantization using straight-through estimation. We find that a primary cause of training instability is t…
q-bio.NC2023★ 1 cited
System identification of neural systems: If we got it right, would we know?
Yena Han, Tomaso Poggio, Brian Cheung
Artificial neural networks are being proposed as models of parts of the brain. The networks are compared to recordings of biological neurons, and good performance in reproducing ne…