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Nishant Aswani

phd student @ nyu
interpretability, continual learning
contact: [firstname] [lastname] [at] nyu.edu

“We are both queens, so who will hang out the laundry?”
– Unknown

technicals
title type date link
Deriving the Diffusion Equation from a Random Walk
QUIK
Sep 16, 2024 Read →
Representing Neural Network Layers as Linear Operations via Koopman Operator Theory
PUBL
Sep 2, 2024 arXiv →
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition
PUBL
May 6, 2024
PMLR 249 → arXiv →
Discussing PCA and Linear Autoencoders
EXPO
Dec 17, 2023 Read →
Exploring the Anatomy of Catastrophic Forgetting
EXPO
May 12, 2023 Read →
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CODE Definition
EXPO Exposition, explainers, deep dives
PUBL Publications and preprints
DEFN Glossary, definitions
QUIK Brief notes
projects

HALOSHIP
High-powered rocketry with a custom flight board.
ain
tr
continualTrain
Containerizing continual learning for uniform and comparable evaluations.
No matching items
 
  • Copyleft 2024, Nishant Aswani