Applications · chemistry physics and earth sciences papers, 2023–2026
Application area: chemistry_physics_and_earth_sciences
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,316 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
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
455 papers, page 1 of 10
- NeurIPS 20253D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
- NeurIPS 20253D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion
- NeurIPS 20253D Human Pose Estimation with Muscles
- NeurIPS 20253DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization
- NeurIPS 2025A Differential and Pointwise Control Approach to Reinforcement Learning
- NeurIPS 2025A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
- NeurIPS 2025A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications
- NeurIPS 2025A Partition Cover Approach to Tokenization
- NeurIPS 2025A Physics-preserved Transfer Learning Method for Differential Equations
- NeurIPS 2025A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers
- NeurIPS 2025A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding
- NeurIPS 2025A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
- NeurIPS 2025A solvable model of learning generative diffusion: theory and insights
- NeurIPS 2025A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
- NeurIPS 2025AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation
- NeurIPS 2025Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
- NeurIPS 2025Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
- NeurIPS 2025Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
- NeurIPS 2025Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
- NeurIPS 2025AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
- NeurIPS 2025Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
- NeurIPS 2025AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
- NeurIPS 2025Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
- NeurIPS 2025Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
- NeurIPS 2025Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
- NeurIPS 2025Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
- NeurIPS 2025ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
- NeurIPS 2025AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
- NeurIPS 2025AION-1: Omnimodal Foundation Model for Astronomical Sciences
- NeurIPS 2025Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
- NeurIPS 2025Amortized Sampling with Transferable Normalizing Flows
- NeurIPS 2025An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
- NeurIPS 2025AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics
- NeurIPS 2025ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting
- NeurIPS 2025AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
- NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
- NeurIPS 2025Attention on the Sphere
- NeurIPS 2025Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
- NeurIPS 2025Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
- NeurIPS 2025Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
- NeurIPS 2025AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
- NeurIPS 2025Axial Neural Networks for Dimension-Free Foundation Models
- NeurIPS 2025BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
- NeurIPS 2025Beyond Prediction: Managing the Repercussions of Machine Learning Applications
- NeurIPS 2025Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
- NeurIPS 2025Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing
- NeurIPS 2025Bilevel Network Learning via Hierarchically Structured Sparsity
- NeurIPS 2025BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks
- NeurIPS 2025BlockDecoder: Boosting ASR Decoders with Context and Merger Modules
- NeurIPS 2025BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
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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.
More in Application Domains
- Applications · computer vision 2,538
- Applications · neuroscience and cognitive science 2,033
- Applications · speech and audio 1,722
- Applications · human computer interaction 1,027
- Applications · robotics 393
- Applications · health medicine 350
- Applications · security 28
- Applications · economics 19
- Applications · education 4