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TODO.md

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Roadmap

Solver

Backward Pass

  • [] SHINE
    • SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models

DEQ Zoo

  • [] monDEQ
    • Monotone operator equilibrium networks
  • [] DE-Prox
    • Deep Equilibrium Architectures for Inverse Problems in Imaging
  • [] JIIO
    • Joint inference and input optimization in equilibrium networks
  • [] EIGNN
    • EIGNN: Efficient Infinite-Depth Graph Neural Networks
  • [] MOptEq
    • Optimization inspired Multi-Branch Equilibrium Models
  • [] GIND
    • Optimization-Induced Graph Implicit Nonlinear Diffusion
  • [] Adversarial Defense
    • A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
  • [] MGNNI
    • MGNNI: Multiscale Graph Neural Networks with Implicit Layers
  • [] Path Independence
    • Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
  • [] NERD
    • Equilibrium Image Denoising With Implicit Differentiation
  • [] Entropy Reduction
    • Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
  • [] DEQNAR
    • Deep Equilibrium Non-Autoregressive Sequence Learning
  • [] LDEQ
    • Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
  • [] DEQDet
    • Deep Equilibrium Object Detection
  • [] FNO-DEQ
    • Deep Equilibrium Based Neural Operators for Steady-State PDEs
  • [] GET
    • One-Step Diffusion Distillation via Deep Equilibrium Models

HuggingFace

To be continues.