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Differentiable function

  • Training Autoencoders by Alternating Minimization

    Training Autoencoders by Alternating Minimization

  • Deep Learning Based Computer Generated Face Identification Using

    Deep Learning Based Computer Generated Face Identification Using

  • Matrix Calculus

    Matrix Calculus

  • Differentiability in Several Variables: Summary of Basic Concepts

    Differentiability in Several Variables: Summary of Basic Concepts

  • Lipschitz Recurrent Neural Networks

    Lipschitz Recurrent Neural Networks

  • Neural Networks

    Neural Networks

  • Jointly Clustering with K-Means and Learning Representations

    Jointly Clustering with K-Means and Learning Representations

  • Differentiability of the Convolution

    Differentiability of the Convolution

  • The Simple Essence of Automatic Differentiation

    The Simple Essence of Automatic Differentiation

  • Expressivity of Deep Neural Networks∗

    Expressivity of Deep Neural Networks∗

  • Differentiable Programming for Piecewise Polynomial

    Differentiable Programming for Piecewise Polynomial

  • GAN and What It Is?

    GAN and What It Is?

  • Differentiable Functions of Several Variables

    Differentiable Functions of Several Variables

  • Ganalyze: Toward Visual Definitions of Cognitive Image Properties

    Ganalyze: Toward Visual Definitions of Cognitive Image Properties

  • Differentiable Functions for Combining First-Order Constraints with Deep Learning Via Weighted Proof Tracing

    Differentiable Functions for Combining First-Order Constraints with Deep Learning Via Weighted Proof Tracing

  • Automatic Differentiation and Neural Networks 1 Introduction

    Automatic Differentiation and Neural Networks 1 Introduction

  • Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions

    Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions

  • Tensor Calculus Arxiv:1610.04347V1 [Math.HO] 14 Oct 2016

    Tensor Calculus Arxiv:1610.04347V1 [Math.HO] 14 Oct 2016

Top View
  • 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
  • Differentiability
  • AUTOMATIC DIFFERENTIATION of FUNCTIONS of DERIVATIVES in A
  • Selected Solutions to Exercises from Pavel Grinfeldgs Introduction to Tensor Analysis and the Calculus of Moving Surfaces
  • Alternating Direction Method of Multipliers for Sparse
  • 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
  • Fast-Slow Recurrent Neural Networks
  • Tensorial Version of the Calculus of Variations
  • Deeply Aggrevated: Differentiable Imitation Learning for Sequential Prediction


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