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

57 papers, page 1 of 2

1. NeurIPS 2026A Grid Efficient Transport Optimization Model for the Wasserstein Barycenter Problem
2. NeurIPS 2026A Theory of Spatial Continuous Attractors in Hopfield Energy Landscapes
3. NeurIPS 2026AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
4. NeurIPS 2026Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition
5. NeurIPS 2026Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
6. NeurIPS 2026C2G-BENCH: A Cyber-Physical Evaluation Benchmark for Hierarchical Reinforcement Learning in Grid-Interactive Hyperscale Data Centers
7. NeurIPS 2026Certified Single-Level Reformulation for Tri-Level Cyber-Physical Grid Security
8. NeurIPS 2026Consistent 3D Surface Flow Model with Global State
9. NeurIPS 2026Contour Monte Carlo: Sampling via Energy Level Sets
10. NeurIPS 2026Energy-Tweedie: Score meets Score, Energy meets Energy
11. NeurIPS 2026Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
12. NeurIPS 2026Free energy Estimation on Any State Space
13. NeurIPS 2026Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
14. NeurIPS 2026Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models
15. NeurIPS 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
16. NeurIPS 2026NLD4CO: Neural Langevin Dynamics for Combinatorial Optimization
17. NeurIPS 2026Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning
18. NeurIPS 2026Replay-buffer engineering for noise-robust quantum circuit optimization
19. NeurIPS 2026Self-Correction as Transition Geometry: Internalizing Reasoning via Lifted State Policy Optimization
20. NeurIPS 2026Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
21. NeurIPS 2026Spectral Annealing: Normalization-Path Exploration for Large-Scale Ising Optimization
22. NeurIPS 2026Speed Predictions for Online Energy-Efficient Scheduling
23. NeurIPS 2026The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets
24. NeurIPS 2026Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
25. NeurIPS 2025A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
26. NeurIPS 2025Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
27. NeurIPS 2025Aligning Transformers with Continuous Feedback via Energy Rank Alignment
28. NeurIPS 2025Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
29. NeurIPS 2025Brain-like Variational Inference
30. NeurIPS 2025CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
31. NeurIPS 2025ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
32. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
33. NeurIPS 2025Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
34. NeurIPS 2025Generalizable Reasoning through Compositional Energy Minimization
35. NeurIPS 2025Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
36. NeurIPS 2025Linearly Constrained Diffusion Implicit Models
37. NeurIPS 2025Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant
38. NeurIPS 2025Masked Diffusion Models as Energy Minimization
39. NeurIPS 2025Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
40. NeurIPS 2025Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
41. NeurIPS 2025Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
42. NeurIPS 2025The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization
43. NeurIPS 2025VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
44. NeurIPS 2024Batched Energy-Entropy acquisition for Bayesian Optimization
45. NeurIPS 2024Cascade of phase transitions in the training of energy-based models
46. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
47. NeurIPS 2024Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
48. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
49. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
50. NeurIPS 2024PowerGraph: A power grid benchmark dataset for graph neural networks

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.