energy function

Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning L4DC 2022 Transformers from an Optimization Perspective NeurIPS 2022 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022 Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons NeurIPS 2021 LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021 SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ICML 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021 Learning of Discrete Graphical Models with Neural Networks NeurIPS 2020 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Weak Form Generalized Hamiltonian Learning NeurIPS 2020 Blind Image Deblurring With Local Maximum Gradient Prior CVPR 2019 Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors AAAI 2019 Learning Approximate Inference Networks for Structured Prediction ICLR 2018 Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016 Discovering the Physical Parts of an Articulated Object Class From Multiple Videos CVPR 2016 3D Object Proposals for Accurate Object Class Detection NeurIPS 2015 Single Image Super-resolution using Deformable Patches CVPR 2014 Active MAP Inference in CRFs for Efficient Semantic Segmentation ICCV 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques CVPR 2013 On autoencoder scoring ICML 2013 Structured Learning via Logistic Regression NeurIPS 2013