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 9 of 10

401. ICML 2024Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
402. ICML 2024PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
403. ICML 2024Pluvial Flood Emulation with Hydraulics-informed Message Passing
404. ICML 2024Stability-Informed Initialization of Neural Ordinary Differential Equations
405. NeurIPS 2024A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention
406. NeurIPS 2024ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
407. NeurIPS 2024Constrained Synthesis with Projected Diffusion Models
408. NeurIPS 2024CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
409. NeurIPS 2024DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
410. NeurIPS 2024Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
411. NeurIPS 2024How does PDE order affect the convergence of PINNs?
412. NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
413. NeurIPS 2024Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
414. NeurIPS 2024Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
415. NeurIPS 2024Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
416. NeurIPS 2024Meta-Learning Universal Priors Using Non-Injective Change of Variables
417. NeurIPS 2024Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
418. NeurIPS 2024Multiple Physics Pretraining for Spatiotemporal Surrogate Models
419. NeurIPS 2024Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
420. NeurIPS 2024P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
421. NeurIPS 2024Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
422. NeurIPS 2024Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
423. NeurIPS 2024Physics-Informed Variational State-Space Gaussian Processes
424. NeurIPS 2024Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
425. NeurIPS 2024PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
426. NeurIPS 2024Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
427. NeurIPS 2024RoPINN: Region Optimized Physics-Informed Neural Networks
428. NeurIPS 2024SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
429. NeurIPS 2024The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
430. NeurIPS 2024Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
431. NeurIPS 2024What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
432. CVPR 20233D Human Pose Estimation via Intuitive Physics
433. CVPR 2023DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors
434. CVPR 2023Imitation Learning As State Matching via Differentiable Physics
435. CVPR 2023Learning 3D Scene Priors With 2D Supervision
436. CVPR 2023Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans
437. CVPR 2023NLOST: Non-Line-of-Sight Imaging With Transformer
438. CVPR 2023Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos
439. CVPR 2023Thermal Spread Functions (TSF): Physics-Guided Material Classification
440. CVPR 2023Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors
441. ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
442. ICLR 2023Competitive Physics Informed Networks
443. ICLR 2023DiffMimic: Efficient Motion Mimicking with Differentiable Physics
444. ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
445. ICLR 2023Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
446. ICLR 2023NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
447. ICLR 2023Phase2vec: dynamical systems embedding with a physics-informed convolutional network
448. ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
449. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
450. ICML 2023Achieving High Accuracy with PINNs via Energy Natural Gradient Descent

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.