应用 · chemistry physics and earth sciences论文趋势 2023–2026

主要结论

• 应用 · chemistry physics and earth sciences论文从 2023 年的 293 篇增长到 2026 年的 1,217 篇，三年间扩大到约 4.2 倍。
• NeurIPS 是发应用 · chemistry physics and earth sciences论文最多的会议，2023–2026 年共 1,107 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 95 篇。
• 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 2；同组增长最快的应用 · health medicine是 61 倍，应用 · chemistry physics and earth sciences是 4.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部应用 · chemistry physics and earth sciences论文

共 164 篇，第 3 / 4 页

101. ICML 2024On the Asymptotic Distribution of the Minimum Empirical Risk
102. ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
103. ICML 2024Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints
104. ICML 2024Online Learning under Budget and ROI Constraints via Weak Adaptivity
105. ICML 2024Optimal Kernel Quantile Learning with Random Features
106. ICML 2024PAPM: A Physics-aware Proxy Model for Process Systems
107. ICML 2024Parameterized Physics-informed Neural Networks for Parameterized PDEs
108. ICML 2024PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
109. ICML 2024Physics and Lie symmetry informed Gaussian processes
110. ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
111. ICML 2024Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
112. ICML 2024Pluvial Flood Emulation with Hydraulics-informed Message Passing
113. ICML 2024Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
114. ICML 2024Position: Application-Driven Innovation in Machine Learning
115. ICML 2024Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
116. ICML 2024Position: Is machine learning good or bad for the natural sciences?
117. ICML 2024Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning
118. ICML 2024Position: What Can Large Language Models Tell Us about Time Series Analysis
119. ICML 2024Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
120. ICML 2024Predictive Coding beyond Correlations
121. ICML 2024Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
122. ICML 2024Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
123. ICML 2024Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models
124. ICML 2024Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design
125. ICML 2024Quantum Theory and Application of Contextual Optimal Transport
126. ICML 2024Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
127. ICML 2024Regression Learning with Limited Observations of Multivariate Outcomes and Features
128. ICML 2024REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
129. ICML 2024Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
130. ICML 2024Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
131. ICML 2024Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity
132. ICML 2024Riemannian coordinate descent algorithms on matrix manifolds
133. ICML 2024Rolling Diffusion Models
134. ICML 2024SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
135. ICML 2024Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
136. ICML 2024SILVER: Single-loop variance reduction and application to federated learning
137. ICML 2024Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
138. ICML 2024Solving Poisson Equations using Neural Walk-on-Spheres
139. ICML 2024Sparse Dimensionality Reduction Revisited
140. ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
141. ICML 2024Stability-Informed Initialization of Neural Ordinary Differential Equations
142. ICML 2024StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
143. ICML 2024Stationarity without mean reversion in improper Gaussian processes
144. ICML 2024Statistical Properties of Robust Satisficing
145. ICML 2024Structured Chemistry Reasoning with Large Language Models
146. ICML 2024Subhomogeneous Deep Equilibrium Models
147. ICML 2024Supervised Matrix Factorization: Local Landscape Analysis and Applications
148. ICML 2024TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
149. ICML 2024The Non-linear $F$-Design and Applications to Interactive Learning
150. ICML 2024Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks

常见问题

2023–2026 年四大会议一共有多少篇应用 · chemistry physics and earth sciences论文？

共 3,316 篇，按年份分别是 2023 年 293 篇、2024 年 680 篇、2025 年 1,126 篇、2026 年 1,217 篇。

NeurIPS 2026 有多少篇应用 · chemistry physics and earth sciences论文？

NeurIPS 2026 有 299 篇应用 · chemistry physics and earth sciences论文，上一届是 455 篇。

ICLR 2026 有多少篇应用 · chemistry physics and earth sciences论文？

ICLR 2026 有 373 篇应用 · chemistry physics and earth sciences论文，上一届是 297 篇。

ICML 2026 有多少篇应用 · chemistry physics and earth sciences论文？

ICML 2026 有 441 篇应用 · chemistry physics and earth sciences论文，上一届是 287 篇。

CVPR 2026 有多少篇应用 · chemistry physics and earth sciences论文？

CVPR 2026 有 104 篇应用 · chemistry physics and earth sciences论文，上一届是 87 篇。

哪个会议的应用 · chemistry physics and earth sciences论文最多？

NeurIPS，2023–2026 年共 1,107 篇。