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

3,316 papers, page 61 of 67

3001. NeurIPS 2024Towards Stable Representations for Protein Interface Prediction
3002. NeurIPS 2024Towards Universal Mesh Movement Networks
3003. NeurIPS 2024Training Compute-Optimal Protein Language Models
3004. NeurIPS 2024Transductive Active Learning: Theory and Applications
3005. NeurIPS 2024Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
3006. NeurIPS 2024Transferable Boltzmann Generators
3007. NeurIPS 2024UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
3008. NeurIPS 2024Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
3009. NeurIPS 2024Unified Guidance for Geometry-Conditioned Molecular Generation
3010. NeurIPS 2024Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning
3011. NeurIPS 2024UniIF: Unified Molecule Inverse Folding
3012. NeurIPS 2024Unitary Convolutions for Learning on Graphs and Groups
3013. NeurIPS 2024Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
3014. NeurIPS 2024Unlocking the Potential of Global Human Expertise
3015. NeurIPS 2024Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
3016. NeurIPS 2024Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
3017. NeurIPS 2024UQE: A Query Engine for Unstructured Databases
3018. NeurIPS 2024Validating Climate Models with Spherical Convolutional Wasserstein Distance
3019. NeurIPS 2024What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
3020. NeurIPS 2024What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction
3021. NeurIPS 2024When are dynamical systems learned from time series data statistically accurate?
3022. NeurIPS 2024When Is Inductive Inference Possible?
3023. NeurIPS 2024WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
3024. CVPR 20233D Human Pose Estimation via Intuitive Physics
3025. CVPR 20233D Line Mapping Revisited
3026. CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
3027. CVPR 2023A Large-Scale Homography Benchmark
3028. CVPR 2023ABLE-NeRF: Attention-Based Rendering With Learnable Embeddings for Neural Radiance Field
3029. CVPR 2023Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses
3030. CVPR 2023Analyzing Physical Impacts Using Transient Surface Wave Imaging
3031. CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
3032. CVPR 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
3033. CVPR 2023Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
3034. CVPR 2023Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
3035. CVPR 2023Compressing Volumetric Radiance Fields to 1 MB
3036. CVPR 2023Computationally Budgeted Continual Learning: What Does Matter?
3037. CVPR 2023Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing
3038. CVPR 2023D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
3039. CVPR 2023Deep Semi-Supervised Metric Learning With Mixed Label Propagation
3040. CVPR 2023DynamicStereo: Consistent Dynamic Depth From Stereo Videos
3041. CVPR 2023EDICT: Exact Diffusion Inversion via Coupled Transformations
3042. CVPR 2023Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
3043. CVPR 2023Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints
3044. CVPR 2023Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
3045. CVPR 2023FitMe: Deep Photorealistic 3D Morphable Model Avatars
3046. CVPR 2023Frame Interpolation Transformer and Uncertainty Guidance
3047. CVPR 2023GarmentTracking: Category-Level Garment Pose Tracking
3048. CVPR 2023Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
3049. CVPR 2023I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
3050. CVPR 2023Imitation Learning As State Matching via Differentiable Physics

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.