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

26 papers, page 1 of 1

1. CVPR 2024Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization
2. CVPR 2024Towards Transferable Targeted 3D Adversarial Attack in the Physical World
3. ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
4. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
5. ICLR 2024Language Model Decoding as Direct Metrics Optimization
6. ICLR 2024Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
7. ICLR 2024S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
8. ICLR 2024SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
9. ICML 2024Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
10. ICML 2024Differentiable Distributionally Robust Optimization Layers
11. ICML 2024Evaluation of Trajectory Distribution Predictions with Energy Score
12. ICML 2024Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
13. ICML 2024Improving Adversarial Energy-Based Model via Diffusion Process
14. ICML 2024Learning Iterative Reasoning through Energy Diffusion
15. ICML 2024Momentum Particle Maximum Likelihood
16. ICML 2024Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
17. NeurIPS 2024Batched Energy-Entropy acquisition for Bayesian Optimization
18. NeurIPS 2024Cascade of phase transitions in the training of energy-based models
19. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
20. NeurIPS 2024Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
21. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
22. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
23. NeurIPS 2024PowerGraph: A power grid benchmark dataset for graph neural networks
24. NeurIPS 2024Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
25. NeurIPS 2024Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
26. NeurIPS 2024SustainDC: Benchmarking for Sustainable Data Center Control

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.