1 citations · 1 across the 4 of their papers we have counts for
4 papers
Automatic mixed precision for optimizing gained time with constrained loss mean-squared-error based on model partition to sequential sub-graphs
Shmulik Markovich-Golan, Daniel Ohayon, Itay Niv +1
Quantization is essential for Neural Network (NN) compression, reducing model size and computational demands by using lower bit-width data types, though aggressive reduction often…
Faster Inference of LLMs using FP8 on the Intel Gaudi
Joonhyung Lee, Shmulik Markovich-Golan, Daniel Ohayon +9
Low-precision data types are essential in modern neural networks during both training and inference as they enhance throughput and computational capacity by better exploiting avail…
Feature Whitening via Gradient Transformation for Improved Convergence
Shmulik Markovich-Golan, Barak Battash, Amit Bleiweiss
Feature whitening is a known technique for speeding up training of DNN. Under certain assumptions, whitening the activations reduces the Fisher information matrix to a simple ident…
Enhanced Voice Post Processing Using Voice Decoder Guidance Indicators
Phani Kumar Nyshadham, D R Shivakumar, Peter Kroon +1
Voice enhancement and voice coding are imperative and important functions in a voice-communication system. However, both functions are commonly treated independently, even though b…