implicit neural network

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks AAAI 2026 DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows AISTATS 2025 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 Enhancing Video Super-Resolution via Implicit Resampling-based Alignment CVPR 2024 GridFormer: Point-Grid Transformer for Surface Reconstruction AAAI 2024 IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching AAAI 2024 Mapping back and forth between model predictive control and neural networks L4DC 2024 Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization CVPR 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023 DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein NeurIPS 2023 Single Image Super-Resolution via a Dual Interactive Implicit Neural Network WACV 2023 Towards Scalable Neural Representation for Diverse Videos CVPR 2023 A global convergence theory for deep ReLU implicit networks via over-parameterization ICLR 2022 Exemplar-Based Pattern Synthesis With Implicit Periodic Field Network CVPR 2022 POCO: Point Convolution for Surface Reconstruction CVPR 2022 Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach L4DC 2022 Image Super-Resolution With Non-Local Sparse Attention CVPR 2021 Robust Implicit Networks via Non-Euclidean Contractions NeurIPS 2021