分子建模论文趋势 2023–2026

分子性质与生成

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,038 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

分子建模论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202327442145137
202478386031207
2025132806346321
20261149010762373

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

全部分子建模论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 251 篇，第 5 / 6 页

  1. ICML 2024Particle Denoising Diffusion Sampler
  2. ICML 2024PGODE: Towards High-quality System Dynamics Modeling
  3. ICML 2024Position: Compositional Generative Modeling: A Single Model is Not All You Need
  4. ICML 2024Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
  5. ICML 2024Probabilistic Modeling of Interpersonal Coordination Processes
  6. ICML 2024Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
  7. ICML 2024Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
  8. ICML 2024Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
  9. ICML 2024Quantum Implicit Neural Representations
  10. ICML 2024Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
  11. ICML 2024Reinformer: Max-Return Sequence Modeling for Offline RL
  12. ICML 2024Repeat After Me: Transformers are Better than State Space Models at Copying
  13. ICML 2024Representing Molecules as Random Walks Over Interpretable Grammars
  14. ICML 2024Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
  15. ICML 2024Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
  16. ICML 2024Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
  17. ICML 2024SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters
  18. ICML 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
  19. ICML 2024Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
  20. ICML 2024Stereo Risk: A Continuous Modeling Approach to Stereo Matching
  21. ICML 2024Stochastic positional embeddings improve masked image modeling
  22. ICML 2024Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
  23. ICML 2024StrWAEs to Invariant Representations
  24. ICML 2024Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
  25. ICML 2024TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
  26. ICML 2024Towards Neural Architecture Search through Hierarchical Generative Modeling
  27. ICML 2024Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
  28. ICML 2024UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
  29. ICML 2024Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
  30. ICML 2024VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
  31. ICML 2023An SDE for Modeling SAM: Theory and Insights
  32. ICML 2023Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
  33. ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
  34. ICML 2023CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
  35. ICML 2023CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
  36. ICML 2023Diffusion Models are Minimax Optimal Distribution Estimators
  37. ICML 2023Effective Neural Topic Modeling with Embedding Clustering Regularization
  38. ICML 2023Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  39. ICML 2023Ewald-based Long-Range Message Passing for Molecular Graphs
  40. ICML 2023FAENet: Frame Averaging Equivariant GNN for Materials Modeling
  41. ICML 2023Fractional Denoising for 3D Molecular Pre-training
  42. ICML 2023Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
  43. ICML 2023Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
  44. ICML 2023Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
  45. ICML 2023MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
  46. ICML 2023Modeling Dynamic Environments with Scene Graph Memory
  47. ICML 2023Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
  48. ICML 2023Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits
  49. ICML 2023Rigid Body Flows for Sampling Molecular Crystal Structures
  50. ICML 2023Sequence Modeling with Multiresolution Convolutional Memory

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查分子建模在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "molecular-modeling"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇分子建模论文？
共 1,038 篇，按年份分别是 2023 年 137 篇、2024 年 207 篇、2025 年 321 篇、2026 年 373 篇。
NeurIPS 2026 有多少篇分子建模论文？
NeurIPS 2026 有 114 篇分子建模论文，上一届是 132 篇。
ICLR 2026 有多少篇分子建模论文？
ICLR 2026 有 90 篇分子建模论文，上一届是 80 篇。
ICML 2026 有多少篇分子建模论文？
ICML 2026 有 107 篇分子建模论文，上一届是 63 篇。
CVPR 2026 有多少篇分子建模论文？
CVPR 2026 有 62 篇分子建模论文，上一届是 46 篇。
哪个会议的分子建模论文最多？
NeurIPS，2023–2026 年共 351 篇。

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