Sayan Banerjee on Muck Rack

Sayan Banerjee

Bangalore
As seen in: Medium, Color Research & Application, Nature, The Times of India, Wiley Online Library, Quartz, SAGE Publishing, ACS Publications, Flipboard, Royal Society of Chemistry and
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Articles

Coupling Geometric Curvature to Electronic Band Curvature: Electron Effective Mass as a Handle for Mechanochemical Reactivity Click to copy article link Article link copied!

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By Sampad Mandal, Sayan Banerjee
| dx.doi.org
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Attribute network models, stochastic approximation and network sampling

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By Nelson Antunes, Sayan Banerjee, Shankar Bhamidi
| Dialnet - Universidad de La Rioja
IdiomacatalàDeutschEnglishespañoleuskarafrançaisgalegoitalianoportuguêsromână
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Fractal Neural Networks

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By Sayan Banerjee
| Medium
You’ve probably seen very deep nets like ResNets — those use skip-connections to fight vanishing gradients. FractalNet takes a different path: it builds its depth by repeating a simple “fractal” expansion rule. That gives us multiple sub-paths of different lengths, all sharing parameters in a self-similar way, so the net can act “shallow” or “deep” as needed during training. Let’s break down the math, and the code behind it, and explore why this neat trick works.
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