Applications · chemistry physics and earth sciences papers, 2023–2026

Key findings

• Applications · chemistry physics and earth sciences went from 293 papers in 2023 to 1,217 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Applications · chemistry physics and earth sciences work: 1,107 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 3 in 2023 to 95 in 2026.
• Among the 10 topics under Application Domains, it ranks #2 by 2026 paper count; the fastest grower in the group, Applications · health medicine, is up 61x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Applications · chemistry physics and earth sciences papers

160 papers, page 2 of 4

51. ICLR 2024Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
52. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
53. ICLR 2024Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
54. ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
55. ICLR 2024Equivariant Matrix Function Neural Networks
56. ICLR 2024Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
57. ICLR 2024Estimating Shape Distances on Neural Representations with Limited Samples
58. ICLR 2024Evaluating Representation Learning on the Protein Structure Universe
59. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
60. ICLR 2024Fast and unified path gradient estimators for normalizing flows
61. ICLR 2024Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
62. ICLR 2024FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
63. ICLR 2024Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
64. ICLR 2024Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
65. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
66. ICLR 2024From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
67. ICLR 2024Generalization of Scaled Deep ResNets in the Mean-Field Regime
68. ICLR 2024Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
69. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
70. ICLR 2024Graph Transformers on EHRs: Better Representation Improves Downstream Performance
71. ICLR 2024GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
72. ICLR 2024GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
73. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
74. ICLR 2024How connectivity structure shapes rich and lazy learning in neural circuits
75. ICLR 2024I-PHYRE: Interactive Physical Reasoning
76. ICLR 2024ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
77. ICLR 2024Improving protein optimization with smoothed fitness landscapes
78. ICLR 2024Interpretable Meta-Learning of Physical Systems
79. ICLR 2024Invariance-based Learning of Latent Dynamics
80. ICLR 2024KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
81. ICLR 2024Lagrangian Flow Networks for Conservation Laws
82. ICLR 2024Large Language Models as Optimizers
83. ICLR 2024Large-scale Training of Foundation Models for Wearable Biosignals
84. ICLR 2024Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
85. ICLR 2024LCOT: Linear Circular Optimal Transport
86. ICLR 2024Learning dynamic representations of the functional connectome in neurobiological networks
87. ICLR 2024Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
88. ICLR 2024Learning interpretable control inputs and dynamics underlying animal locomotion
89. ICLR 2024Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
90. ICLR 2024Learning Planning Abstractions from Language
91. ICLR 2024Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
92. ICLR 2024Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
93. ICLR 2024Learning the greatest common divisor: explaining transformer predictions
94. ICLR 2024Learning Thresholds with Latent Values and Censored Feedback
95. ICLR 2024Learning to design protein-protein interactions with enhanced generalization
96. ICLR 2024Learning to Reject with a Fixed Predictor: Application to Decontextualization
97. ICLR 2024Learning with Language-Guided State Abstractions
98. ICLR 2024Let's do the time-warp-attend: Learning topological invariants of dynamical systems
99. ICLR 2024LILO: Learning Interpretable Libraries by Compressing and Documenting Code
100. ICLR 2024LipSim: A Provably Robust Perceptual Similarity Metric

FAQ

How many Applications · chemistry physics and earth sciences papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,316 in total: 293 in 2023, 680 in 2024, 1,126 in 2025, 1,217 in 2026.

How many Applications · chemistry physics and earth sciences papers are at NeurIPS 2026?

NeurIPS 2026 has 299 Applications · chemistry physics and earth sciences papers, versus 455 the year before.

How many Applications · chemistry physics and earth sciences papers are at ICLR 2026?

ICLR 2026 has 373 Applications · chemistry physics and earth sciences papers, versus 297 the year before.

How many Applications · chemistry physics and earth sciences papers are at ICML 2026?

ICML 2026 has 441 Applications · chemistry physics and earth sciences papers, versus 287 the year before.

How many Applications · chemistry physics and earth sciences papers are at CVPR 2026?

CVPR 2026 has 104 Applications · chemistry physics and earth sciences papers, versus 87 the year before.

Which conference publishes the most Applications · chemistry physics and earth sciences papers?

NeurIPS, with 1,107 papers from 2023 to 2026.