energy minimization

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization CVPR 2026 ICLR: In-Context Learning of Representations ICLR 2025 MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy ICLR 2025 Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control CoRL 2025 Transformers from Diffusion: A Unified Framework for Neural Message Passing JMLR 2025 Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World ICLR 2024 Fixed Pattern Noise Removal for Multi-View Single-Sensor Infrared Camera WACV 2024 GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting NeurIPS 2024 Gradual Optimization Learning for Conformational Energy Minimization ICLR 2024 Learning diffusion at lightspeed NeurIPS 2024 MESA: Matching Everything by Segmenting Anything CVPR 2024 Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations NeurIPS 2024 Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NeurIPS 2024 D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory ICLR 2023 Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines AAAI 2023 Octree Guided Unoriented Surface Reconstruction CVPR 2023 Planning with Sequence Models through Iterative Energy Minimization ICLR 2023 SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation NeurIPS 2023 Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NeurIPS 2022 Energy-Inspired Molecular Conformation Optimization ICLR 2022 Learning Iterative Reasoning through Energy Minimization ICML 2022 Transformers from an Optimization Perspective NeurIPS 2022 Hopfield Networks is All You Need ICLR 2021 Large Associative Memory Problem in Neurobiology and Machine Learning ICLR 2021 Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance CVPR 2021