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
39 papers, page 1 of 1
- CVPR 2025Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
- CVPR 2025Twinner: Shining Light on Digital Twins in a Few Snaps
- ICLR 2025Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
- ICLR 2025Data Center Cooling System Optimization Using Offline Reinforcement Learning
- ICLR 2025Learning to Solve Differential Equation Constrained Optimization Problems
- ICLR 2025MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
- ICLR 2025NRGBoost: Energy-Based Generative Boosted Trees
- ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
- ICLR 2025Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
- ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
- ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
- ICLR 2025Taming Transformer Without Using Learning Rate Warmup
- ICML 2025Compositional Risk Minimization
- ICML 2025Compressing tree ensembles through Level-wise Optimization and Pruning
- ICML 2025Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
- ICML 2025Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
- ICML 2025Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
- ICML 2025Joint Learning of Energy-based Models and their Partition Function
- ICML 2025Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
- ICML 2025Predicting mutational effects on protein binding from folding energy
- NeurIPS 2025A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
- NeurIPS 2025Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
- NeurIPS 2025Aligning Transformers with Continuous Feedback via Energy Rank Alignment
- NeurIPS 2025Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
- NeurIPS 2025Brain-like Variational Inference
- NeurIPS 2025CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
- NeurIPS 2025ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
- NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
- NeurIPS 2025Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
- NeurIPS 2025Generalizable Reasoning through Compositional Energy Minimization
- NeurIPS 2025Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
- NeurIPS 2025Linearly Constrained Diffusion Implicit Models
- NeurIPS 2025Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant
- NeurIPS 2025Masked Diffusion Models as Energy Minimization
- NeurIPS 2025Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
- NeurIPS 2025Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
- NeurIPS 2025Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
- NeurIPS 2025The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization
- NeurIPS 2025VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
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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.