应用 · chemistry physics and earth sciences论文趋势 2023–2026
应用方向：chemistry_physics_and_earth_sciences
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,316 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
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 1,126 篇，第 7 / 23 页
- ICLR 2025PIED: Physics-Informed Experimental Design for Inverse Problems
- ICLR 2025PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
- ICLR 2025PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
- ICLR 2025PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
- ICLR 2025PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
- ICLR 2025PRDP: Progressively Refined Differentiable Physics
- ICLR 2025Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
- ICLR 2025Probabilistic Geometric Principal Component Analysis with application to neural data
- ICLR 2025ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
- ICLR 2025Protein Language Model Fitness is a Matter of Preference
- ICLR 2025Proteina: Scaling Flow-based Protein Structure Generative Models
- ICLR 2025ProteinBench: A Holistic Evaluation of Protein Foundation Models
- ICLR 2025ProtPainter: Draw or Drag Protein via Topology-guided Diffusion
- ICLR 2025Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer
- ICLR 2025QP-SNN: Quantized and Pruned Spiking Neural Networks
- ICLR 2025QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
- ICLR 2025Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
- ICLR 2025Quantum (Inspired) $D^2$-sampling with Applications
- ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
- ICLR 2025Rationalizing and Augmenting Dynamic Graph Neural Networks
- ICLR 2025Real-time design of architectural structures with differentiable mechanics and neural networks
- ICLR 2025Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
- ICLR 2025REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring
- ICLR 2025Regulatory DNA Sequence Design with Reinforcement Learning
- ICLR 2025Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
- ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
- ICLR 2025ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
- ICLR 2025RESuM: A Rare Event Surrogate Model for Physics Detector Design
- ICLR 2025Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
- ICLR 2025Rethinking the role of frames for SE(3)-invariant crystal structure modeling
- ICLR 2025Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
- ICLR 2025RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning
- ICLR 2025Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
- ICLR 2025Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling
- ICLR 2025Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
- ICLR 2025SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection
- ICLR 2025Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
- ICLR 2025Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
- ICLR 2025SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
- ICLR 2025Score-based free-form architectures for high-dimensional Fokker-Planck equations
- ICLR 2025Self-Attention-Based Contextual Modulation Improves Neural System Identification
- ICLR 2025Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
- ICLR 2025Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
- ICLR 2025Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
- ICLR 2025ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
- ICLR 2025SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour
- ICLR 2025SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
- ICLR 2025Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries
- ICLR 2025Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
- ICLR 2025SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
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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。