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 2 / 4 页

51. ICML 2024Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
52. ICML 2024Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
53. ICML 2024Graph Positional and Structural Encoder
54. ICML 2024Grokking Group Multiplication with Cosets
55. ICML 2024HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
56. ICML 2024Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
57. ICML 2024HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
58. ICML 2024How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective
59. ICML 2024How Language Model Hallucinations Can Snowball
60. ICML 2024How to Escape Sharp Minima with Random Perturbations
61. ICML 2024How to Explore with Belief: State Entropy Maximization in POMDPs
62. ICML 2024Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
63. ICML 2024I/O Complexity of Attention, or How Optimal is FlashAttention?
64. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
65. ICML 2024Improved Operator Learning by Orthogonal Attention
66. ICML 2024Improving Computational Complexity in Statistical Models with Local Curvature Information
67. ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
68. ICML 2024Indirectly Parameterized Concrete Autoencoders
69. ICML 2024Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
70. ICML 2024Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing
71. ICML 2024Interpreting and Improving Large Language Models in Arithmetic Calculation
72. ICML 2024Invariant Risk Minimization Is A Total Variation Model
73. ICML 2024Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
74. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
75. ICML 2024Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
76. ICML 2024Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
77. ICML 2024Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
78. ICML 2024Learning from Integral Losses in Physics Informed Neural Networks
79. ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
80. ICML 2024Liouville Flow Importance Sampler
81. ICML 2024Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
82. ICML 2024Make-A-Shape: a Ten-Million-scale 3D Shape Model
83. ICML 2024Measures of diversity and space-filling designs for categorical data
84. ICML 2024MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
85. ICML 2024Minimizing $f$-Divergences by Interpolating Velocity Fields
86. ICML 2024Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
87. ICML 2024Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
88. ICML 2024Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
89. ICML 2024Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
90. ICML 2024Neural Operators with Localized Integral and Differential Kernels
91. ICML 2024Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
92. ICML 2024Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
93. ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
94. ICML 2024Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
95. ICML 2024Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
96. ICML 2024Not all distributional shifts are equal: Fine-grained robust conformal inference
97. ICML 2024Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
98. ICML 2024OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
99. ICML 2024On a Neural Implementation of Brenier's Polar Factorization
100. ICML 2024On Least Square Estimation in Softmax Gating Mixture of Experts

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。