35 citations · 38 across the 11 of their papers we have counts for
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cs.LG2022★ 2 cited
Scalable Hybrid Learning Techniques for Scientific Data Compression
Tania Banerjee, Jong Choi, Jaemoon Lee +5
Data compression is becoming critical for storing scientific data because many scientific applications need to store large amounts of data and post process this data for scientific…
cs.LG2022★ 1 cited
Expressing linear equality constraints in feedforward neural networks
Anand Rangarajan, Pan He, Jaemoon Lee +2
We seek to impose linear, equality constraints in feedforward neural networks. As top layer predictors are usually nonlinear, this is a difficult task if we seek to deploy standard…