Co-occurring keywords · papers mentioning both
Papers
Diffusion Bridge Implicit Models
ICLR 2025
Constrained Implicit Learning Framework for Neural Network Sparsification
ACML 2024
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
AAAI 2024
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
CVPR 2024
LION: Implicit Vision Prompt Tuning
AAAI 2024
Lyapunov-Stable Deep Equilibrium Models
AAAI 2024
Positive Concave Deep Equilibrium Models
ICML 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
Training Implicit Generative Models via an Invariant Statistical Loss
AISTATS 2024
Contrastive Value Learning: Implicit Models for Simple Offline RL
CoRL 2023
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
NeurIPS 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models
AISTATS 2023
High-Fidelity Clothed Avatar Reconstruction From a Single Image
CVPR 2023
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
ICML 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
NeurIPS 2023
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
ICLR 2023
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation
NeurIPS 2023
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
ICLR 2023
VIDM: Video Implicit Diffusion Models
AAAI 2023
CerDEQ: Certifiable Deep Equilibrium Model
ICML 2022
Clean Implicit 3D Structure From Noisy 2D STEM Images
CVPR 2022
Deep Equilibrium Optical Flow Estimation
CVPR 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
NeurIPS 2022
Neural Deep Equilibrium Solvers
ICLR 2022
Optimization inspired Multi-Branch Equilibrium Models
ICLR 2022