Energy Grid Optimization papers, 2023–2026

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.

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

151 papers, page 1 of 4

1. CVPR 2026ActiveGrasp Information-Guided Active Grasping with Calibrated Energy-based Model
2. CVPR 2026Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization
3. CVPR 2026Energy-GS Image Energy-guided Pose Alignment Gaussian Splatting with redesigned pose
4. CVPR 2026EnergyAction Unimanual to Bimanual Composition with Energy-Based Models
5. CVPR 2026Eulerian Gaussian Splatting using Hashed Probability Pyramids
6. CVPR 2026Gallant Voxel Grid-based Humanoid Locomotion and Local-navigation across 3-D Constrained
7. CVPR 2026Grid Distillation Compositional Image Distillation via Structured Generative Grids
8. CVPR 2026Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation
9. CVPR 2026The Devil Is in Gradient Entanglement Energy-Aware Gradient Coordinator for
10. CVPR 2026WildCap Facial Albedo Capture in the Wild via Hybrid Inverse
11. ICLR 2026AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
12. ICLR 2026Behavior Learning (BL)
13. ICLR 2026Data-to-Energy Stochastic Dynamics
14. ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
15. ICLR 2026Free Energy Mixer
16. ICLR 2026Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
17. ICLR 2026Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme
18. ICLR 2026NRGPT: An Energy-based Alternative for GPT
19. ICLR 2026RankFlow: Property-aware Transport for Protein Optimization
20. ICLR 2026Sign-SGD via Parameter-Free Optimization
21. ICLR 2026Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis
22. ICML 2026A Kinetic Energy Perspective of Flow Matching
23. ICML 2026Beyond Buffer Limits: Energy-Based Data Reassembly for Continual Learning
24. ICML 2026BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
25. ICML 2026Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
26. ICML 2026Constructing Industrial-Scale Optimization Modeling Benchmark
27. ICML 2026EnerGS: Energy-Based Gaussian Splatting under Partial Geometric Priors
28. ICML 2026ePC: Fast and Deep Predictive Coding in Digital Simulation
29. ICML 2026FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
30. ICML 2026Gromov-Wasserstein at Scale, Beyond Squared Norms
31. ICML 2026HONet: Data-Efficient Learning for Exact Cover Tasks via Hypergraph Optimization
32. ICML 2026Latent-Guided Cooperative Energy-Based Models
33. ICML 2026Learning Normalized Energy Models for Linear Inverse Problems
34. ICML 2026Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
35. ICML 2026MutAtlas: A PDB-Wide Energy-Guided Atlas of Protein Mutation Effects
36. ICML 2026Optimal Transport–Guided Stochastic Control for Graph Combinatorial Optimization
37. ICML 2026Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
38. ICML 2026Towards the Training of Deeper Predictive Coding Neural Networks
39. NeurIPS 2026A Grid Efficient Transport Optimization Model for the Wasserstein Barycenter Problem
40. NeurIPS 2026A Theory of Spatial Continuous Attractors in Hopfield Energy Landscapes
41. NeurIPS 2026AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
42. NeurIPS 2026Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition
43. NeurIPS 2026Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
44. NeurIPS 2026C2G-BENCH: A Cyber-Physical Evaluation Benchmark for Hierarchical Reinforcement Learning in Grid-Interactive Hyperscale Data Centers
45. NeurIPS 2026Certified Single-Level Reformulation for Tri-Level Cyber-Physical Grid Security
46. NeurIPS 2026Consistent 3D Surface Flow Model with Global State
47. NeurIPS 2026Contour Monte Carlo: Sampling via Energy Level Sets
48. NeurIPS 2026Energy-Tweedie: Score meets Score, Energy meets Energy
49. NeurIPS 2026Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
50. NeurIPS 2026Free energy Estimation on Any State Space

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.