Physics-Informed ML papers, 2023–2026

Key findings

• Physics-Informed ML went from 50 papers in 2023 to 199 in 2026, roughly 4.0x in three years.
• NeurIPS publishes the most Physics-Informed ML work: 167 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 0 in 2023 to 11 in 2026.
• Among the 5 topics under Climate and Physical Sciences, it ranks #1 by 2026 paper count; the fastest grower in the group, Weather Forecasting, is up 6.1x versus 4.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency
• ICML 2026Bias-Spectrum Neural Processes for Parametric PDEs: Architecture Priors Meet PDE Constraints
• ICLR 2026CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
• CVPR 2026Domain Sensitive Federated Learning with Fisher-Informed Pruning
• NeurIPS 2025Activation-Informed Merging of Large Language Models
• ICML 2025Geometry-Informed Neural Networks
• ICLR 2025Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
• CVPR 2025A Physics-Informed Blur Learning Framework for Imaging Systems
• NeurIPS 2024ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
• ICML 2024A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
• ICLR 2024AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
• CVPR 2024A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
• NeurIPS 2023ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
• ICML 2023Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks
• ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
• CVPR 20233D Human Pose Estimation via Intuitive Physics
• NeurIPS 2026Neural Modal Decomposition: Architectural Priors from Observables
• ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
• ICLR 2026From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
• CVPR 2026LaDy Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal

All Physics-Informed ML papers

65 papers, page 1 of 2

1. NeurIPS 20253DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization
2. NeurIPS 2025A Differential and Pointwise Control Approach to Reinforcement Learning
3. NeurIPS 2025A Physics-preserved Transfer Learning Method for Differential Equations
4. NeurIPS 2025Activation-Informed Merging of Large Language Models
5. NeurIPS 2025Attention on the Sphere
6. NeurIPS 2025BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
7. NeurIPS 2025Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models
8. NeurIPS 2025Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
9. NeurIPS 2025Deep learning for continuous-time stochastic control with jumps
10. NeurIPS 2025Distance-informed Neural Processes
11. NeurIPS 2025Energy Loss Functions for Physical Systems
12. NeurIPS 2025Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules
13. NeurIPS 2025Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting
14. NeurIPS 2025FAIR Universe HiggsML Uncertainty Dataset and Competition
15. NeurIPS 2025FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
16. NeurIPS 2025FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering
17. NeurIPS 2025FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
18. NeurIPS 2025From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
19. NeurIPS 2025Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
20. NeurIPS 2025Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
21. NeurIPS 2025Hybrid Latent Representations for PDE Emulation
22. NeurIPS 2025HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
23. NeurIPS 2025Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
24. NeurIPS 2025Informed Correctors for Discrete Diffusion Models
25. NeurIPS 2025Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
26. NeurIPS 2025Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
27. NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
28. NeurIPS 2025Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions
29. NeurIPS 2025Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant
30. NeurIPS 2025MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
31. NeurIPS 2025Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
32. NeurIPS 2025Model-Informed Flows for Bayesian Inference
33. NeurIPS 2025Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning
34. NeurIPS 2025Neuro-Spectral Architectures for Causal Physics-Informed Networks
35. NeurIPS 2025NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
36. NeurIPS 2025PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
37. NeurIPS 2025Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
38. NeurIPS 2025PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
39. NeurIPS 2025PhySense: Sensor Placement Optimization for Accurate Physics Sensing
40. NeurIPS 2025PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors
41. NeurIPS 2025Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
42. NeurIPS 2025Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
43. NeurIPS 2025Physics-informed Neural Operator for Pansharpening
44. NeurIPS 2025Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
45. NeurIPS 2025Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
46. NeurIPS 2025PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
47. NeurIPS 2025PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
48. NeurIPS 2025PINNs with Learnable Quadrature
49. NeurIPS 2025PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting
50. NeurIPS 2025PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series

FAQ

How many Physics-Informed ML papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

481 in total: 50 in 2023, 85 in 2024, 147 in 2025, 199 in 2026.

How many Physics-Informed ML papers are at NeurIPS 2026?

NeurIPS 2026 has 54 Physics-Informed ML papers, versus 65 the year before.

How many Physics-Informed ML papers are at ICLR 2026?

ICLR 2026 has 64 Physics-Informed ML papers, versus 38 the year before.

How many Physics-Informed ML papers are at ICML 2026?

ICML 2026 has 51 Physics-Informed ML papers, versus 25 the year before.

How many Physics-Informed ML papers are at CVPR 2026?

CVPR 2026 has 30 Physics-Informed ML papers, versus 19 the year before.

Which conference publishes the most Physics-Informed ML papers?

NeurIPS, with 167 papers from 2023 to 2026.