Molecular Modeling papers, 2023–2026

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.

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

207 papers, page 4 of 5

151. NeurIPS 2024eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling
152. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
153. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
154. NeurIPS 2024FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
155. NeurIPS 2024From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach
156. NeurIPS 2024From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
157. NeurIPS 2024Gated Slot Attention for Efficient Linear-Time Sequence Modeling
158. NeurIPS 2024GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
159. NeurIPS 2024Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation
160. NeurIPS 2024Generalizable Implicit Motion Modeling for Video Frame Interpolation
161. NeurIPS 2024Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
162. NeurIPS 2024Generative Modeling of Molecular Dynamics Trajectories
163. NeurIPS 2024Graph Diffusion Transformers for Multi-Conditional Molecular Generation
164. NeurIPS 2024I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
165. NeurIPS 2024Instructor-inspired Machine Learning for Robust Molecular Property Prediction
166. NeurIPS 2024Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
167. NeurIPS 2024Large Scale Transfer Learning for Tabular Data via Language Modeling
168. NeurIPS 2024Learning the Latent Causal Structure for Modeling Label Noise
169. NeurIPS 2024Learning to Decouple the Lights for 3D Face Texture Modeling
170. NeurIPS 2024Learning to Predict Structural Vibrations
171. NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
172. NeurIPS 2024Light Unbalanced Optimal Transport
173. NeurIPS 2024Linguistic Collapse: Neural Collapse in (Large) Language Models
174. NeurIPS 2024LLaMo: Large Language Model-based Molecular Graph Assistant
175. NeurIPS 2024Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
176. NeurIPS 2024MoEUT: Mixture-of-Experts Universal Transformers
177. NeurIPS 2024MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
178. NeurIPS 2024Molecule Design by Latent Prompt Transformer
179. NeurIPS 2024Multistep Distillation of Diffusion Models via Moment Matching
180. NeurIPS 2024Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
181. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
182. NeurIPS 2024On the Power of Decision Trees in Auto-Regressive Language Modeling
183. NeurIPS 2024Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification
184. NeurIPS 2024Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
185. NeurIPS 2024Paloma: A Benchmark for Evaluating Language Model Fit
186. NeurIPS 2024Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
187. NeurIPS 2024Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
188. NeurIPS 2024ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
189. NeurIPS 2024Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
190. NeurIPS 2024ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
191. NeurIPS 2024ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
192. NeurIPS 2024PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
193. NeurIPS 2024RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
194. NeurIPS 2024RGFN: Synthesizable Molecular Generation Using GFlowNets
195. NeurIPS 2024Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
196. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
197. NeurIPS 2024Semantic Routing via Autoregressive Modeling
198. NeurIPS 2024ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling
199. NeurIPS 2024SpaceByte: Towards Deleting Tokenization from Large Language Modeling
200. NeurIPS 2024Sparse Bayesian Generative Modeling for Compressive Sensing

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.