PinnedNakul UpadhyainTowards Data ScienceThe Return of the Fallen: Transformers for ForecastingIntroducing a new transformer model: PatchTST5 min read·May 24, 2023--2--2
PinnedNakul UpadhyainTowards Data ScienceDo Transformers Lose to Linear Models?Long-Term Forecasting using Transformers may not be the way to go9 min read·Jan 23, 2023--1--1
PinnedNakul UpadhyainTowards Data ScienceXAI for Forecasting: Basis ExpansionNBEATS and other Interpretable Deep Forecasting Models15 min read·Mar 24, 2023----
Nakul UpadhyainTowards Data ScienceNeural Basis Models for InterpretabilityUnpacking the new interpretable model proposed by Meta AI·6 min read·Oct 11, 2023----
Nakul UpadhyainTowards Data ScienceCritical Tools for Ethical and Explainable AIA guide to essential libraries and toolkits that can help you create trustworthy yet robust models·8 min read·Jul 19, 2023--1--1
Nakul UpadhyainTowards Data ScienceNODE: Tabular-Focused Neural TreesExploring NODE: A Neural Decision Tree architecture for tabular data·7 min read·Jul 4, 2023----
Nakul UpadhyainTowards Data ScienceNeural Prototype TreesExplainable image classification through mimicking human reasoning.·6 min read·Jun 2, 2023----
Nakul UpadhyainTowards Data ScienceNeural Networks as Decision TreesGet the power of a Neural Network with the interpretable structure of a Decision Tree9 min read·Apr 3, 2023--1--1
Nakul UpadhyaExplainable AI and ChatGPT DetectionThe measures to counter AI-Generated text in education and other fields need their own transparency measures.12 min read·Feb 6, 2023----
Nakul UpadhyainTowards Data ScienceSHAP for Time Series Event DetectionUsing a modified KernelSHAP for time-series event detection8 min read·Feb 1, 2023--1--1
