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 65 篇，第 1 / 2 页

1. ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
2. ICLR 2023A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
3. ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
4. ICLR 2023A Self-Attention Ansatz for Ab-initio Quantum Chemistry
5. ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
6. ICLR 2023Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
7. ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
8. ICLR 2023Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
9. ICLR 2023Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
10. ICLR 2023Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
11. ICLR 2023Characteristic Neural Ordinary Differential Equation
12. ICLR 2023Clifford Neural Layers for PDE Modeling
13. ICLR 2023Competitive Physics Informed Networks
14. ICLR 2023Confidence Estimation Using Unlabeled Data
15. ICLR 2023Contextual bandits with concave rewards, and an application to fair ranking
16. ICLR 2023Continuous PDE Dynamics Forecasting with Implicit Neural Representations
17. ICLR 2023Coupled Multiwavelet Operator Learning for Coupled Differential Equations
18. ICLR 2023CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
19. ICLR 2023DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
20. ICLR 2023DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
21. ICLR 2023DiffMimic: Efficient Motion Mimicking with Differentiable Physics
22. ICLR 2023Disentangling Learning Representations with Density Estimation
23. ICLR 2023EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
24. ICLR 2023Efficient Discrete Multi Marginal Optimal Transport Regularization
25. ICLR 2023Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
26. ICLR 2023Expressive Monotonic Neural Networks
27. ICLR 2023Factorized Fourier Neural Operators
28. ICLR 2023FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
29. ICLR 2023FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
30. ICLR 2023Generative Modelling with Inverse Heat Dissipation
31. ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
32. ICLR 2023Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
33. ICLR 2023HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
34. ICLR 2023Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
35. ICLR 2023Learned Index with Dynamic $\epsilon$
36. ICLR 2023Learning differentiable solvers for systems with hard constraints
37. ICLR 2023Learning ReLU networks to high uniform accuracy is intractable
38. ICLR 2023Learning Vortex Dynamics for Fluid Inference and Prediction
39. ICLR 2023MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
40. ICLR 2023ManyDG: Many-domain Generalization for Healthcare Applications
41. ICLR 2023Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
42. ICLR 2023Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
43. ICLR 2023Noise-Robust De-Duplication at Scale
44. ICLR 2023NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
45. ICLR 2023On the Importance and Applicability of Pre-Training for Federated Learning
46. ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
47. ICLR 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
48. ICLR 2023Phase2vec: dynamical systems embedding with a physics-informed convolutional network
49. ICLR 2023Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
50. ICLR 2023Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning

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。