deep equilibrium model

Progressive Guessing to Fixed Point: Rethinking Human Motion Prediction with Deep Equilibrium Models CVPR 2026 DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows AISTATS 2025 Implicit vs Unfolded Graph Neural Networks JMLR 2025 Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer ICCV 2025 A Plug-and-Play Image Registration Network ICLR 2024 Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NeurIPS 2024 Deep Equilibrium Algorithmic Reasoning NeurIPS 2024 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 Efficient Score Matching with Deep Equilibrium Layers ICLR 2024 Fixed points of nonnegative neural networks JMLR 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 Lyapunov-Stable Deep Equilibrium Models AAAI 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NeurIPS 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Deep equilibrium models as estimators for continuous latent variables AISTATS 2023 Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023 Deep Equilibrium Object Detection ICCV 2023 DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium CVPR 2023 Equilibrium Point Learning ACML 2023 Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models NeurIPS 2023 GEQ: Gaussian Kernel Inspired Equilibrium Models NeurIPS 2023 Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023 One-Step Diffusion Distillation via Deep Equilibrium Models NeurIPS 2023