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

481 papers, page 7 of 10

301. NeurIPS 2025Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
302. NeurIPS 2025Hybrid Latent Representations for PDE Emulation
303. NeurIPS 2025HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
304. NeurIPS 2025Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
305. NeurIPS 2025Informed Correctors for Discrete Diffusion Models
306. NeurIPS 2025Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
307. NeurIPS 2025Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
308. NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
309. NeurIPS 2025Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions
310. NeurIPS 2025Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant
311. NeurIPS 2025MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
312. NeurIPS 2025Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
313. NeurIPS 2025Model-Informed Flows for Bayesian Inference
314. NeurIPS 2025Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning
315. NeurIPS 2025Neuro-Spectral Architectures for Causal Physics-Informed Networks
316. NeurIPS 2025NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
317. NeurIPS 2025PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
318. NeurIPS 2025Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
319. NeurIPS 2025PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
320. NeurIPS 2025PhySense: Sensor Placement Optimization for Accurate Physics Sensing
321. NeurIPS 2025PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors
322. NeurIPS 2025Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
323. NeurIPS 2025Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
324. NeurIPS 2025Physics-informed Neural Operator for Pansharpening
325. NeurIPS 2025Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
326. NeurIPS 2025Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
327. NeurIPS 2025PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
328. NeurIPS 2025PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
329. NeurIPS 2025PINNs with Learnable Quadrature
330. NeurIPS 2025PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting
331. NeurIPS 2025PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
332. NeurIPS 2025Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
333. NeurIPS 2025PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
334. NeurIPS 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
335. NeurIPS 2025RoboScape: Physics-informed Embodied World Model
336. NeurIPS 2025Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
337. NeurIPS 2025STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
338. NeurIPS 2025TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
339. NeurIPS 2025Towards Automated Petrography
340. NeurIPS 2025Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
341. NeurIPS 2025Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
342. NeurIPS 2025Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
343. NeurIPS 2025Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
344. NeurIPS 2025Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
345. NeurIPS 2025Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
346. NeurIPS 2025X-Field: A Physically Informed Representation for 3D X-ray Reconstruction
347. CVPR 2024A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
348. CVPR 2024As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
349. CVPR 2024Bayesian Differentiable Physics for Cloth Digitalization
350. CVPR 2024Capturing Closely Interacted Two-Person Motions with Reaction Priors

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.