电网优化论文趋势 2023–2026

主要结论

• 电网优化论文从 2023 年的 24 篇增长到 2026 年的 62 篇，三年间扩大到约 2.6 倍。
• NeurIPS 是发电网优化论文最多的会议，2023–2026 年共 57 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 10 篇。
• 在「社会公益」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的公共政策分析是 1.8 倍，电网优化是 2.6 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Grid Efficient Transport Optimization Model for the Wasserstein Barycenter Problem
• ICML 2026Beyond Buffer Limits: Energy-Based Data Reassembly for Continual Learning
• ICLR 2026Behavior Learning (BL)
• CVPR 2026Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization
• NeurIPS 2025The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization
• ICML 2025Compositional Risk Minimization
• ICLR 2025Learning to Solve Differential Equation Constrained Optimization Problems
• CVPR 2025Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
• NeurIPS 2024PowerGraph: A power grid benchmark dataset for graph neural networks
• ICML 2024Differentiable Distributionally Robust Optimization Layers
• ICLR 2024Language Model Decoding as Direct Metrics Optimization
• CVPR 2024Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization
• NeurIPS 2023Many-body Approximation for Non-negative Tensors
• ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
• ICLR 2023Actionable Neural Representations: Grid Cells from Minimal Constraints
• CVPR 2023Towards Bridging the Performance Gaps of Joint Energy-Based Models
• NeurIPS 2026A Theory of Spatial Continuous Attractors in Hopfield Energy Landscapes
• ICML 2026Constructing Industrial-Scale Optimization Modeling Benchmark
• ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
• CVPR 2026EnergyAction Unimanual to Bimanual Composition with Energy-Based Models

全部电网优化论文

共 151 篇，第 3 / 4 页

101. NeurIPS 2025VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
102. CVPR 2024Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization
103. CVPR 2024Towards Transferable Targeted 3D Adversarial Attack in the Physical World
104. ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
105. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
106. ICLR 2024Language Model Decoding as Direct Metrics Optimization
107. ICLR 2024Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
108. ICLR 2024S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
109. ICLR 2024SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
110. ICML 2024Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
111. ICML 2024Differentiable Distributionally Robust Optimization Layers
112. ICML 2024Evaluation of Trajectory Distribution Predictions with Energy Score
113. ICML 2024Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
114. ICML 2024Improving Adversarial Energy-Based Model via Diffusion Process
115. ICML 2024Learning Iterative Reasoning through Energy Diffusion
116. ICML 2024Momentum Particle Maximum Likelihood
117. ICML 2024Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
118. NeurIPS 2024Batched Energy-Entropy acquisition for Bayesian Optimization
119. NeurIPS 2024Cascade of phase transitions in the training of energy-based models
120. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
121. NeurIPS 2024Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
122. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
123. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
124. NeurIPS 2024PowerGraph: A power grid benchmark dataset for graph neural networks
125. NeurIPS 2024Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
126. NeurIPS 2024Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
127. NeurIPS 2024SustainDC: Benchmarking for Sustainable Data Center Control
128. CVPR 2023Energy-Efficient Adaptive 3D Sensing
129. CVPR 2023Grid-Guided Neural Radiance Fields for Large Urban Scenes
130. CVPR 2023ObjectMatch: Robust Registration Using Canonical Object Correspondences
131. CVPR 2023Octree Guided Unoriented Surface Reconstruction
132. CVPR 2023Regularize Implicit Neural Representation by Itself
133. CVPR 2023Towards Bridging the Performance Gaps of Joint Energy-Based Models
134. ICLR 2023Actionable Neural Representations: Grid Cells from Minimal Constraints
135. ICLR 2023DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
136. ICLR 2023Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
137. ICLR 2023Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
138. ICLR 2023Guiding Energy-based Models via Contrastive Latent Variables
139. ICLR 2023Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
140. ICLR 2023Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
141. ICLR 2023Planning with Sequence Models through Iterative Energy Minimization
142. ICLR 2023Sampling with Mollified Interaction Energy Descent
143. ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
144. ICML 2023Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
145. ICML 2023End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
146. ICML 2023From Hypergraph Energy Functions to Hypergraph Neural Networks
147. ICML 2023Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
148. NeurIPS 2023DISCS: A Benchmark for Discrete Sampling
149. NeurIPS 2023Energy-Based Sliced Wasserstein Distance
150. NeurIPS 2023Energy-Efficient Scheduling with Predictions

常见问题

2023–2026 年四大会议一共有多少篇电网优化论文？

共 151 篇，按年份分别是 2023 年 24 篇、2024 年 26 篇、2025 年 39 篇、2026 年 62 篇。

NeurIPS 2026 有多少篇电网优化论文？

NeurIPS 2026 有 24 篇电网优化论文，上一届是 19 篇。

ICLR 2026 有多少篇电网优化论文？

ICLR 2026 有 11 篇电网优化论文，上一届是 10 篇。

ICML 2026 有多少篇电网优化论文？

ICML 2026 有 17 篇电网优化论文，上一届是 8 篇。

CVPR 2026 有多少篇电网优化论文？

CVPR 2026 有 10 篇电网优化论文，上一届是 2 篇。

哪个会议的电网优化论文最多？

NeurIPS，2023–2026 年共 57 篇。