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Saptashwa Bhattacharyya

Google's Willow Quantum Computing Chip: A Game Changer?
Programming
Suppressing Logical Errors Exponentially! For the First Time
Saptashwa Bhattacharyya
January 6, 202511 min read
AdEMAMix: A Deep Dive into a New Optimizer for Your Deep Neural Network
Machine Learning
A better and faster option than the ADAM optimizer, from Apple Research
Saptashwa Bhattacharyya
September 19, 202413 min read
Diffusion Loss: Every Step Explained
Deep Learning
Paper Review: Denoising Diffusion Probabilistic Model (DDPM)
Saptashwa Bhattacharyya
July 31, 202416 min read
KAN: Why and How Does It Work? A Deep Dive
Mathematics
Can we discover new physics with KAN?
Saptashwa Bhattacharyya
May 10, 202413 min read
Ensemble of Classifiers: Voting Classifier
Machine Learning
Combine many different models for better Prediction
Saptashwa Bhattacharyya
August 17, 20237 min read
Probabilistic View of Principal Component Analysis
Machine Learning
Latent Variables, Expectation-Maximization & Variational Inference
Saptashwa Bhattacharyya
July 12, 20239 min read
New Scikit-Learn is More Suitable for Data Analysis
Machine Learning
Pandas Compatibility and More in Scikit-Learn Version ≥1.2.0
Saptashwa Bhattacharyya
March 8, 20234 min read
Understand & Implement Masked AutoRegressive Flow with TensorFlow
Deep Learning
Flow-Based Models for Density Estimation with TensorFlow
Saptashwa Bhattacharyya
February 21, 20238 min read
Transforming Probability Distributions & Normalizing Flows
Deep Learning
Using Simple Bijectors to Transform Distributions using TensorFlow
Saptashwa Bhattacharyya
November 14, 20225 min read
Getting Started with Normalizing Flows: Linear Algebra & Probability
Deep Learning
Change of Variables Rule, Bijection & Diffeomorphism
Saptashwa Bhattacharyya
September 27, 20229 min read