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 4 of 10

151. NeurIPS 2026Diffeomoprhism-Informed 3D Gaussian Splattings via Screen-Space Optimal Transport (OT)
152. NeurIPS 2026End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
153. NeurIPS 2026Energy-Guided Transport for Projection-Free Physics-Informed Flow Matching
154. NeurIPS 2026Fast Learning Rates for Physics-Informed Kernel Methods
155. NeurIPS 2026Generalizable Physics Simulation through Compositional Energy Minimization
156. NeurIPS 2026Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers
157. NeurIPS 2026GIVLA: Deep Geometry Internalization for A Lightweight VLA via Geometry Instruction and Gradient-Informed Training
158. NeurIPS 2026H-Flow: Self-supervised Human Scene Flow via Physics-inspired Joint Multi-modal Learning
159. NeurIPS 2026INEUS: Iterative Neural Solver for High-Dimensional PIDEs
160. NeurIPS 2026Informed Posterior Sampling: More Efficient Online Learning with Few Offline Demonstrations in Average-Reward MDPs
161. NeurIPS 2026KerONet: A Single Softmax Readout Suffices for Physics-Informed Operator Learning
162. NeurIPS 2026Learning POMDP World Models from Observations with Language-Model Priors
163. NeurIPS 2026LEMON-ZEST: Evolution-Informed Tokenization for Efficient Protein Language Modeling
164. NeurIPS 2026Mosaic: A Benchmark Suite for Differentiable Physics Solvers
165. NeurIPS 2026Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation
166. NeurIPS 2026Neural Modal Decomposition: Architectural Priors from Observables
167. NeurIPS 2026Neural Operator-based Curriculum Learning for Physics-Informed Neural Networks
168. NeurIPS 2026NeuralFieldManifold: Reconstruction of LFP manifold with Lag Embedding
169. NeurIPS 2026Newton-PINet: A fast physics-informed neural network with Newton linearization for meta-learning nonlinear PDEs
170. NeurIPS 2026PDE-PFN: Prior-Data Fitted Neural PDE Solver
171. NeurIPS 2026Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
172. NeurIPS 2026PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?
173. NeurIPS 2026PhysFormer: Learning to Simulate Mechanics in World Space
174. NeurIPS 2026Physics Unrolled Neural Operator for Wireless Field Modeling
175. NeurIPS 2026Physics-Conditioned Video Diffusion with Kinematic Priors for Fusion Capsule Polishing
176. NeurIPS 2026Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
177. NeurIPS 2026Physics-Informed Optimal Control by Control-Only Supervision with Error Guarantees on Value and Policy
178. NeurIPS 2026Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment
179. NeurIPS 2026PhySPRING: Structure-Preserving Reduction of Physics-Informed Digital Twins via Graph Neural Networks
180. NeurIPS 2026PI-EDG: Physics-Informed Full-Space Electron Density Generation from Molecular Geometry
181. NeurIPS 2026PINNeval: A Comprehensive Evaluation Standard for Physics-Informed Neural Networks
182. NeurIPS 2026PIU-CR: Physics-Informed Deep Unfolding Network with SAR-Optical Image Fusion for Cloud Removal
183. NeurIPS 2026PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
184. NeurIPS 2026Prior Text-Informed Gate Attention Framework for Multimodal Psychiatric Disorder Diagnosis
185. NeurIPS 2026RAWild: Toward Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modeling
186. NeurIPS 2026ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
187. NeurIPS 2026REINS: Learning Inertia-Induced Geometry for Physics-Consistent Motion Representation in Clinical Gait Phenotyping
188. NeurIPS 2026Self-Supervised Doppler-Guided RF Odometry
189. NeurIPS 2026Simplifying Transformer-Based U-Net Neural Physics Simulators
190. NeurIPS 2026SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking
191. NeurIPS 2026Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge
192. NeurIPS 2026SpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers
193. NeurIPS 2026The Subjectivity of Monoculture
194. NeurIPS 2026Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
195. NeurIPS 2026Ultra Fast PDE Solving via Physics Guided Few-step Diffusion
196. NeurIPS 2026Unsupervised Physics Informed Decomposition of Incomplete Time-Resolved Spectroscopy
197. NeurIPS 2026WavNAF: Learning Wave Propagation Priors for Neural Acoustic Fields
198. NeurIPS 2026WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos
199. NeurIPS 2026When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective
200. CVPR 2025A Physics-Informed Blur Learning Framework for Imaging Systems

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.