Differentiable function
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- A Mathematical Model for Automatic Differentiation in Machine Learning Jerome Bolte, Edouard Pauwels
- Differentiable Programming and Its Applications to Dynamical Systems
- Arxiv:1912.07651V2 [Cs.LG] 27 Aug 2020 Able At
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- Selected Solutions to Exercises from Pavel Grinfeldgs Introduction to Tensor Analysis and the Calculus of Moving Surfaces
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- Concrete Autoencoders: Differentiable Feature Selection and Reconstruction
- Learning to Adaptively Scale Recurrent Neural Networks
- EA-CG: an Approximate Second-Order Method for Training Fully-Connected Neural Networks
- Continuous, Nowhere Differentiable Functions
- Backpropagation in the Simply Typed Lambda-Calculus with Linear Negation
- Learning Multiple Layers of Features from Tiny Images
- Optimizing Data Usage Via Differentiable Rewards
- COMP 551 – Applied Machine Learning Lecture 16: Deep Learning
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- Tensorial Version of the Calculus of Variations
- Deeply Aggrevated: Differentiable Imitation Learning for Sequential Prediction