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

1,126 papers, page 5 of 23

201. ICLR 2025Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
202. ICLR 2025Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
203. ICLR 2025How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
204. ICLR 2025Hyperbolic Genome Embeddings
205. ICLR 2025IDInit: A Universal and Stable Initialization Method for Neural Network Training
206. ICLR 2025IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION
207. ICLR 2025IgGM: A Generative Model for Functional Antibody and Nanobody Design
208. ICLR 2025Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
209. ICLR 2025Implicit Neural Surface Deformation with Explicit Velocity Fields
210. ICLR 2025Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
211. ICLR 2025Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
212. ICLR 2025In vivo cell-type and brain region classification via multimodal contrastive learning
213. ICLR 2025Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
214. ICLR 2025Interpretable Causal Representation Learning for Biological Data in the Pathway Space
215. ICLR 2025Inverse decision-making using neural amortized Bayesian actors
216. ICLR 2025InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
217. ICLR 2025InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
218. ICLR 2025Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
219. ICLR 2025Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
220. ICLR 2025KAN: Kolmogorov–Arnold Networks
221. ICLR 2025KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
222. ICLR 2025KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
223. ICLR 2025KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks
224. ICLR 2025KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI
225. ICLR 2025L3Ms — Lagrange Large Language Models
226. ICLR 2025Language Agents Meet Causality -- Bridging LLMs and Causal World Models
227. ICLR 2025Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
228. ICLR 2025Large Language Models Assume People are More Rational than We Really are
229. ICLR 2025Large Language Models Often Say One Thing and Do Another
230. ICLR 2025Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
231. ICLR 2025Learning and aligning single-neuron invariance manifolds in visual cortex
232. ICLR 2025Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
233. ICLR 2025Learning Equivariant Non-Local Electron Density Functionals
234. ICLR 2025Learning local equivariant representations for quantum operators
235. ICLR 2025Learning Molecular Representation in a Cell
236. ICLR 2025Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
237. ICLR 2025Learning system dynamics without forgetting
238. ICLR 2025Learning the Complexity of Weakly Noisy Quantum States
239. ICLR 2025Learning to Discover Regulatory Elements for Gene Expression Prediction
240. ICLR 2025Learning to engineer protein flexibility
241. ICLR 2025LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
242. ICLR 2025Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
243. ICLR 2025Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
244. ICLR 2025Linear combinations of latents in generative models: subspaces and beyond
245. ICLR 2025Linear Partial Gromov-Wasserstein Embedding
246. ICLR 2025LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
247. ICLR 2025MADGEN: Mass-Spec attends to De Novo Molecular generation
248. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
249. ICLR 2025MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
250. ICLR 2025Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion

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.