Energy Grid Optimization papers, 2023–2026
Energy dispatch
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 151 papers are tagged with this topic.
Key findings
- Energy Grid Optimization went from 24 papers in 2023 to 62 in 2026, roughly 2.6x in three years.
- NeurIPS publishes the most Energy Grid Optimization work: 57 papers from 2023 to 2026, 38% of the four-venue total.
- The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 1 in 2023 to 10 in 2026.
- Among the 5 topics under AI for Social Good, it ranks #1 by 2026 paper count; the fastest grower in the group, Public Policy Analytics, is up 1.8x versus 2.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 4 | 9 | 5 | 6 | 24 |
| 2024 | 10 | 6 | 8 | 2 | 26 |
| 2025 | 19 | 10 | 8 | 2 | 39 |
| 2026 | 24 | 11 | 17 | 10 | 62 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Energy Grid Optimization papers
24 papers, page 1 of 1
- NeurIPS 2026A Grid Efficient Transport Optimization Model for the Wasserstein Barycenter Problem
- NeurIPS 2026A Theory of Spatial Continuous Attractors in Hopfield Energy Landscapes
- NeurIPS 2026AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
- NeurIPS 2026Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition
- NeurIPS 2026Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
- NeurIPS 2026C2G-BENCH: A Cyber-Physical Evaluation Benchmark for Hierarchical Reinforcement Learning in Grid-Interactive Hyperscale Data Centers
- NeurIPS 2026Certified Single-Level Reformulation for Tri-Level Cyber-Physical Grid Security
- NeurIPS 2026Consistent 3D Surface Flow Model with Global State
- NeurIPS 2026Contour Monte Carlo: Sampling via Energy Level Sets
- NeurIPS 2026Energy-Tweedie: Score meets Score, Energy meets Energy
- NeurIPS 2026Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
- NeurIPS 2026Free energy Estimation on Any State Space
- NeurIPS 2026Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
- NeurIPS 2026Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models
- NeurIPS 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
- NeurIPS 2026NLD4CO: Neural Langevin Dynamics for Combinatorial Optimization
- NeurIPS 2026Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning
- NeurIPS 2026Replay-buffer engineering for noise-robust quantum circuit optimization
- NeurIPS 2026Self-Correction as Transition Geometry: Internalizing Reasoning via Lifted State Policy Optimization
- NeurIPS 2026Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
- NeurIPS 2026Spectral Annealing: Normalization-Path Exploration for Large-Scale Ising Optimization
- NeurIPS 2026Speed Predictions for Online Energy-Efficient Scheduling
- NeurIPS 2026The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets
- NeurIPS 2026Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
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FAQ
- How many Energy Grid Optimization papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 151 in total: 24 in 2023, 26 in 2024, 39 in 2025, 62 in 2026.
- How many Energy Grid Optimization papers are at NeurIPS 2026?
- NeurIPS 2026 has 24 Energy Grid Optimization papers, versus 19 the year before.
- How many Energy Grid Optimization papers are at ICLR 2026?
- ICLR 2026 has 11 Energy Grid Optimization papers, versus 10 the year before.
- How many Energy Grid Optimization papers are at ICML 2026?
- ICML 2026 has 17 Energy Grid Optimization papers, versus 8 the year before.
- How many Energy Grid Optimization papers are at CVPR 2026?
- CVPR 2026 has 10 Energy Grid Optimization papers, versus 2 the year before.
- Which conference publishes the most Energy Grid Optimization papers?
- NeurIPS, with 57 papers from 2023 to 2026.