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 2 of 4

51. NeurIPS 2026Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
52. NeurIPS 2026Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models
53. NeurIPS 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
54. NeurIPS 2026NLD4CO: Neural Langevin Dynamics for Combinatorial Optimization
55. NeurIPS 2026Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning
56. NeurIPS 2026Replay-buffer engineering for noise-robust quantum circuit optimization
57. NeurIPS 2026Self-Correction as Transition Geometry: Internalizing Reasoning via Lifted State Policy Optimization
58. NeurIPS 2026Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
59. NeurIPS 2026Spectral Annealing: Normalization-Path Exploration for Large-Scale Ising Optimization
60. NeurIPS 2026Speed Predictions for Online Energy-Efficient Scheduling
61. NeurIPS 2026The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets
62. NeurIPS 2026Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
63. CVPR 2025Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
64. CVPR 2025Twinner: Shining Light on Digital Twins in a Few Snaps
65. ICLR 2025Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
66. ICLR 2025Data Center Cooling System Optimization Using Offline Reinforcement Learning
67. ICLR 2025Learning to Solve Differential Equation Constrained Optimization Problems
68. ICLR 2025MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
69. ICLR 2025NRGBoost: Energy-Based Generative Boosted Trees
70. ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
71. ICLR 2025Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
72. ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
73. ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
74. ICLR 2025Taming Transformer Without Using Learning Rate Warmup
75. ICML 2025Compositional Risk Minimization
76. ICML 2025Compressing tree ensembles through Level-wise Optimization and Pruning
77. ICML 2025Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
78. ICML 2025Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
79. ICML 2025Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
80. ICML 2025Joint Learning of Energy-based Models and their Partition Function
81. ICML 2025Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
82. ICML 2025Predicting mutational effects on protein binding from folding energy
83. NeurIPS 2025A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
84. NeurIPS 2025Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
85. NeurIPS 2025Aligning Transformers with Continuous Feedback via Energy Rank Alignment
86. NeurIPS 2025Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
87. NeurIPS 2025Brain-like Variational Inference
88. NeurIPS 2025CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
89. NeurIPS 2025ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
90. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
91. NeurIPS 2025Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
92. NeurIPS 2025Generalizable Reasoning through Compositional Energy Minimization
93. NeurIPS 2025Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
94. NeurIPS 2025Linearly Constrained Diffusion Implicit Models
95. NeurIPS 2025Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant
96. NeurIPS 2025Masked Diffusion Models as Energy Minimization
97. NeurIPS 2025Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
98. NeurIPS 2025Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
99. NeurIPS 2025Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
100. NeurIPS 2025The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization

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.