Applications · chemistry physics and earth sciences papers, 2023–2026

Key findings

• Applications · chemistry physics and earth sciences went from 293 papers in 2023 to 1,217 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Applications · chemistry physics and earth sciences work: 1,107 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 3 in 2023 to 95 in 2026.
• Among the 10 topics under Application Domains, it ranks #2 by 2026 paper count; the fastest grower in the group, Applications · health medicine, is up 61x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
• ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
• ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
• CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
• NeurIPS 2025A Partition Cover Approach to Tokenization
• ICML 2025A Machine Learning Approach to Duality in Statistical Physics
• ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
• CVPR 2025Accurate Differential Operators for Hybrid Neural Fields
• NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
• ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
• ICLR 2024A Foundation Model for Error Correction Codes
• CVPR 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
• NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
• ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
• ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
• CVPR 20233D Human Pose Estimation via Intuitive Physics
• NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
• ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
• ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
• CVPR 2026Brewing Stronger Features Dual-Teacher Distillation for Multispectral Earth Observation

All Applications · chemistry physics and earth sciences papers

293 papers, page 4 of 6

151. ICML 2023Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
152. ICML 2023Delay-agnostic Asynchronous Coordinate Update Algorithm
153. ICML 2023Difference of submodular minimization via DC programming
154. ICML 2023Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
155. ICML 2023Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
156. ICML 2023Disentangled Multi-Fidelity Deep Bayesian Active Learning
157. ICML 2023DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
158. ICML 2023Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
159. ICML 2023Fair and Accurate Decision Making through Group-Aware Learning
160. ICML 2023FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
161. ICML 2023Fully Dynamic Submodular Maximization over Matroids
162. ICML 2023Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
163. ICML 2023General Covariance Data Augmentation for Neural PDE Solvers
164. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
165. ICML 2023Group Equivariant Fourier Neural Operators for Partial Differential Equations
166. ICML 2023Harmonic Neural Networks
167. ICML 2023In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
168. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
169. ICML 2023Latent Traversals in Generative Models as Potential Flows
170. ICML 2023Learning Antidote Data to Individual Unfairness
171. ICML 2023Learning Functional Distributions with Private Labels
172. ICML 2023Learning Mixtures of Gaussians with Censored Data
173. ICML 2023Learning Neural PDE Solvers with Parameter-Guided Channel Attention
174. ICML 2023Learning Physical Models that Can Respect Conservation Laws
175. ICML 2023Linear optimal partial transport embedding
176. ICML 2023Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
177. ICML 2023Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
178. ICML 2023MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
179. ICML 2023Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
180. ICML 2023Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
181. ICML 2023MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
182. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
183. ICML 2023MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
184. ICML 2023NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
185. ICML 2023Neural Markov Jump Processes
186. ICML 2023NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
187. ICML 2023On Penalty-based Bilevel Gradient Descent Method
188. ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
189. ICML 2023Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
190. ICML 2023Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
191. ICML 2023Partial Optimality in Cubic Correlation Clustering
192. ICML 2023PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
193. ICML 2023Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
194. ICML 2023Quantum 3D Graph Learning with Applications to Molecule Embedding
195. ICML 2023Random Grid Neural Processes for Parametric Partial Differential Equations
196. ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
197. ICML 2023Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
198. ICML 2023Sampling random graph homomorphisms and applications to network data analysis
199. ICML 2023Sampling-based Nyström Approximation and Kernel Quadrature
200. ICML 2023SE(3) diffusion model with application to protein backbone generation

FAQ

How many Applications · chemistry physics and earth sciences papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,316 in total: 293 in 2023, 680 in 2024, 1,126 in 2025, 1,217 in 2026.

How many Applications · chemistry physics and earth sciences papers are at NeurIPS 2026?

NeurIPS 2026 has 299 Applications · chemistry physics and earth sciences papers, versus 455 the year before.

How many Applications · chemistry physics and earth sciences papers are at ICLR 2026?

ICLR 2026 has 373 Applications · chemistry physics and earth sciences papers, versus 297 the year before.

How many Applications · chemistry physics and earth sciences papers are at ICML 2026?

ICML 2026 has 441 Applications · chemistry physics and earth sciences papers, versus 287 the year before.

How many Applications · chemistry physics and earth sciences papers are at CVPR 2026?

CVPR 2026 has 104 Applications · chemistry physics and earth sciences papers, versus 87 the year before.

Which conference publishes the most Applications · chemistry physics and earth sciences papers?

NeurIPS, with 1,107 papers from 2023 to 2026.