One-step differentiation of iterative algorithms

23 May 2023

Papers citing "One-step differentiation of iterative algorithms"

9 / 9 papers shown

Title
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Yiming Li Lijun Yang Wen Yao Yue Deng DiffM 38 0 0 12 May 2025
Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control Haonan He Yuheng Qiu Junyi Geng 86 0 0 17 Apr 2025
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 105 1 0 02 Oct 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 79 13 0 08 Feb 2024
The Curse of Unrolling: Rate of Differentiating Through Optimization Damien Scieur Quentin Bertrand Gauthier Gidel Fabian Pedregosa 38 12 0 27 Sep 2022
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou Pierre Ablin Samuel Vaiter Thomas Moreau 139 96 0 31 Jan 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 61 69 0 09 Nov 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 137 0 09 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017