Molecular Modeling papers, 2023–2026
Molecular property and generation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,038 papers are tagged with this topic.
Key findings
- Molecular Modeling went from 137 papers in 2023 to 373 in 2026, roughly 2.7x in three years.
- NeurIPS publishes the most Molecular Modeling work: 351 papers from 2023 to 2026, 34% of the four-venue total.
- The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 5 in 2023 to 59 in 2026.
- Among the 5 topics under Graph and Structured Data, it ranks #3 by 2026 paper count; the fastest grower in the group, Time Series, is up 3.2x versus 2.7x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 27 | 44 | 21 | 45 | 137 |
| 2024 | 78 | 38 | 60 | 31 | 207 |
| 2025 | 132 | 80 | 63 | 46 | 321 |
| 2026 | 114 | 90 | 107 | 62 | 373 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics
- ICML 2026Controlled SDEs for Long-Horizon Motion Generation under Latent Decision Uncertainty
- ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
- CVPR 2026CARE A Molecular-Guided Foundation Model with Adaptive Region Modeling for
- NeurIPS 20253D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
- ICML 2025BAnG: Bidirectional Anchored Generation for Conditional RNA Design
- ICLR 20253D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
- CVPR 2025Bridging Gait Recognition and Large Language Models Sequence Modeling
- NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- ICML 2024An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
- ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
- CVPR 2024EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling
- NeurIPS 2023Learning Invariant Molecular Representation in Latent Discrete Space
- ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- ICLR 2023$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
- CVPR 2023BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
- NeurIPS 2026CausalBind: Causal Modeling and Learning for Protein-Molecule Virtual Screening
- ICML 2026Efficient Continuous-Depth Modeling with GRU Equivalents
- ICLR 2026Anime-Ready: Controllable 3D Anime Character Generation with Body-Aligned Component-Wise Garment Modeling
- CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
All Molecular Modeling papers
251 papers, page 1 of 6
- ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
- ICML 2026Adaptive DNA Sequence Modeling via Synergistic Plasticity Units
- ICML 2026Agentic Framework for Epidemiological Modeling
- ICML 2026Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
- ICML 2026APIC: Orthogonalized Neuro-Symbolic Modeling for Nonlinear Dissipative Dynamics
- ICML 2026Asymmetric Multi-View Clustering with Hyperbolic Uncertainty Modeling
- ICML 2026Autoregressive Image Generation with Masked Bit Modeling
- ICML 2026BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
- ICML 2026Beyond Single Embedding: Modeling User Preferences as Distribution in Federated Recommendation
- ICML 2026Bi-Anchor Interpolation Solver for Accelerating Generative Modeling
- ICML 2026BioDynaSpec: Harmonic-Guided Spatio-Spectral Autoregressive Diffusion for Protein Dynamics Generation
- ICML 2026Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
- ICML 2026CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation
- ICML 2026Causal Attention with Lookahead Keys
- ICML 2026Causal Modeling of Selection in Evolution
- ICML 2026Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
- ICML 2026Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
- ICML 2026Coarse-Grained Boltzmann Generators
- ICML 2026Computationally-efficient Graph Modeling with Refined Graph Random Features
- ICML 2026Conditional Clifford-Steerable CNNs for PDE Modeling
- ICML 2026Consistent Diffusion Language Models
- ICML 2026Constructing Industrial-Scale Optimization Modeling Benchmark
- ICML 2026Context-level Language Modeling by Learning Predictive Context Embeddings
- ICML 2026Controlled SDEs for Long-Horizon Motion Generation under Latent Decision Uncertainty
- ICML 2026Coupled Cluster con MoLe: Molecular Orbital Learning for Neural Wavefunctions
- ICML 2026Credible Information Subset Decomposition: An End-to-End Multi-fidelity Learning Model by Modeling Label Information
- ICML 2026Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization
- ICML 2026Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
- ICML 2026Dynamic Fractal Mamba: A Neural Renormalization Group Flow for Scale-Invariant Sequence Modeling
- ICML 2026Efficient Continuous-Depth Modeling with GRU Equivalents
- ICML 2026EpiCoCo: De Novo Epitope Generation via MHC-Context Co-Modeling and Contrastive Affinity Guidance
- ICML 2026Explicit representation of germline and non-germline residues improves antibody language modeling
- ICML 2026FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
- ICML 2026Generalizing Multi-Scale Time-Series Modeling with a Single Operator
- ICML 2026GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation
- ICML 2026Geometric Embedding Alignment via Curvature Matching in Transfer Learning
- ICML 2026Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning
- ICML 2026GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
- ICML 2026HieraScaffold: Learning Compact Hierarchical Representations for Scalable 4D LiDAR Generation
- ICML 2026HiST: A Hierarchical Sparse Transformer for Cross-Modal Spatial Transcriptomics Modeling
- ICML 2026HyperMLP: An Integrated Perspective for Sequence Modeling
- ICML 2026Improving Topic Modeling by Distilling Soft Labels from Language Models
- ICML 2026Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts
- ICML 2026Information-Theoretic Disentangled Latent Modeling with Conditional Diffusion for Incomplete Multi-View Clustering
- ICML 2026Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modeling and State Tracking
- ICML 2026KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation
- ICML 2026KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
- ICML 2026Large-Scale Molecular Dynamics Simulations: Direct Interatomic Modeling with Dilated Message Passing
- ICML 2026Latent Laplace Diffusion for Irregular Multivariate Time Series
- ICML 2026Latent-Guided Cooperative Energy-Based Models
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Molecular Modeling papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "molecular-modeling"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Molecular Modeling papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 1,038 in total: 137 in 2023, 207 in 2024, 321 in 2025, 373 in 2026.
- How many Molecular Modeling papers are at NeurIPS 2026?
- NeurIPS 2026 has 114 Molecular Modeling papers, versus 132 the year before.
- How many Molecular Modeling papers are at ICLR 2026?
- ICLR 2026 has 90 Molecular Modeling papers, versus 80 the year before.
- How many Molecular Modeling papers are at ICML 2026?
- ICML 2026 has 107 Molecular Modeling papers, versus 63 the year before.
- How many Molecular Modeling papers are at CVPR 2026?
- CVPR 2026 has 62 Molecular Modeling papers, versus 46 the year before.
- Which conference publishes the most Molecular Modeling papers?
- NeurIPS, with 351 papers from 2023 to 2026.