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 83 篇，第 1 / 2 页

1. ICML 2023A Coupled Flow Approach to Imitation Learning
2. ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
3. ICML 2023A Neural PDE Solver with Temporal Stencil Modeling
4. ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
5. ICML 2023Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
6. ICML 2023Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
7. ICML 2023Applied Online Algorithms with Heterogeneous Predictors
8. ICML 2023Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
9. ICML 2023Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
10. ICML 2023Can Large Language Models Reason about Program Invariants?
11. ICML 2023Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
12. ICML 2023Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
13. ICML 2023Contextual Combinatorial Bandits with Probabilistically Triggered Arms
14. ICML 2023Controlled Differential Equations on Long Sequences via Non-standard Wavelets
15. ICML 2023Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
16. ICML 2023Cross-Entropy Loss Functions: Theoretical Analysis and Applications
17. ICML 2023D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
18. ICML 2023Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
19. ICML 2023Delay-agnostic Asynchronous Coordinate Update Algorithm
20. ICML 2023Difference of submodular minimization via DC programming
21. ICML 2023Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
22. ICML 2023Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
23. ICML 2023Disentangled Multi-Fidelity Deep Bayesian Active Learning
24. ICML 2023DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
25. ICML 2023Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
26. ICML 2023Fair and Accurate Decision Making through Group-Aware Learning
27. ICML 2023FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
28. ICML 2023Fully Dynamic Submodular Maximization over Matroids
29. ICML 2023Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
30. ICML 2023General Covariance Data Augmentation for Neural PDE Solvers
31. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
32. ICML 2023Group Equivariant Fourier Neural Operators for Partial Differential Equations
33. ICML 2023Harmonic Neural Networks
34. ICML 2023In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
35. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
36. ICML 2023Latent Traversals in Generative Models as Potential Flows
37. ICML 2023Learning Antidote Data to Individual Unfairness
38. ICML 2023Learning Functional Distributions with Private Labels
39. ICML 2023Learning Mixtures of Gaussians with Censored Data
40. ICML 2023Learning Neural PDE Solvers with Parameter-Guided Channel Attention
41. ICML 2023Learning Physical Models that Can Respect Conservation Laws
42. ICML 2023Linear optimal partial transport embedding
43. ICML 2023Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
44. ICML 2023Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
45. ICML 2023MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
46. ICML 2023Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
47. ICML 2023Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
48. ICML 2023MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
49. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
50. ICML 2023MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed 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。