22 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 22 cited
Power-law Scaling to Assist with Key Challenges in Artificial Intelligence
Yuval Meir, Shira Sardi, Shiri Hodassman +4
Power-law scaling, a central concept in critical phenomena, is found to be useful in deep learning, where optimized test errors on handwritten digit examples converge as a power-la…
physics.bio-ph2022★ 4 cited
Brain inspired neuronal silencing mechanism to enable reliable sequence identification
Shiri Hodassman, Yuval Meir, Karin Kisos +5
Real-time sequence identification is a core use-case of artificial neural networks (ANNs), ranging from recognizing temporal events to identifying verification codes. Existing meth…