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

293 papers, page 2 of 6

51. CVPR 2023Pose Synchronization Under Multiple Pair-Wise Relative Poses
52. CVPR 2023PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image
53. CVPR 2023PyPose: A Library for Robot Learning With Physics-Based Optimization
54. CVPR 2023RelightableHands: Efficient Neural Relighting of Articulated Hand Models
55. CVPR 2023Robust and Scalable Gaussian Process Regression and Its Applications
56. CVPR 2023Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination
57. CVPR 2023Single View Scene Scale Estimation Using Scale Field
58. CVPR 2023SPARF: Neural Radiance Fields From Sparse and Noisy Poses
59. CVPR 2023SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields
60. CVPR 2023StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
61. CVPR 2023StyLess: Boosting the Transferability of Adversarial Examples
62. CVPR 2023Swept-Angle Synthetic Wavelength Interferometry
63. CVPR 2023Thermal Spread Functions (TSF): Physics-Guided Material Classification
64. CVPR 2023Toward RAW Object Detection: A New Benchmark and a New Model
65. CVPR 2023Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution
66. CVPR 2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
67. CVPR 2023TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
68. CVPR 2023Wavelet Diffusion Models Are Fast and Scalable Image Generators
69. ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
70. ICLR 2023A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
71. ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
72. ICLR 2023A Self-Attention Ansatz for Ab-initio Quantum Chemistry
73. ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
74. ICLR 2023Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
75. ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
76. ICLR 2023Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
77. ICLR 2023Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
78. ICLR 2023Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
79. ICLR 2023Characteristic Neural Ordinary Differential Equation
80. ICLR 2023Clifford Neural Layers for PDE Modeling
81. ICLR 2023Competitive Physics Informed Networks
82. ICLR 2023Confidence Estimation Using Unlabeled Data
83. ICLR 2023Contextual bandits with concave rewards, and an application to fair ranking
84. ICLR 2023Continuous PDE Dynamics Forecasting with Implicit Neural Representations
85. ICLR 2023Coupled Multiwavelet Operator Learning for Coupled Differential Equations
86. ICLR 2023CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
87. ICLR 2023DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
88. ICLR 2023DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
89. ICLR 2023DiffMimic: Efficient Motion Mimicking with Differentiable Physics
90. ICLR 2023Disentangling Learning Representations with Density Estimation
91. ICLR 2023EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
92. ICLR 2023Efficient Discrete Multi Marginal Optimal Transport Regularization
93. ICLR 2023Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
94. ICLR 2023Expressive Monotonic Neural Networks
95. ICLR 2023Factorized Fourier Neural Operators
96. ICLR 2023FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
97. ICLR 2023FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
98. ICLR 2023Generative Modelling with Inverse Heat Dissipation
99. ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
100. ICLR 2023Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

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.