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

975 papers, page 17 of 20

801. ICML 2024Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
802. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
803. ICML 2024Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
804. ICML 2024Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
805. ICML 2024Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
806. ICML 2024Learning from Integral Losses in Physics Informed Neural Networks
807. ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
808. ICML 2024Liouville Flow Importance Sampler
809. ICML 2024Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
810. ICML 2024Make-A-Shape: a Ten-Million-scale 3D Shape Model
811. ICML 2024Measures of diversity and space-filling designs for categorical data
812. ICML 2024MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
813. ICML 2024Minimizing $f$-Divergences by Interpolating Velocity Fields
814. ICML 2024Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
815. ICML 2024Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
816. ICML 2024Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
817. ICML 2024Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
818. ICML 2024Neural Operators with Localized Integral and Differential Kernels
819. ICML 2024Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
820. ICML 2024Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
821. ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
822. ICML 2024Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
823. ICML 2024Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
824. ICML 2024Not all distributional shifts are equal: Fine-grained robust conformal inference
825. ICML 2024Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
826. ICML 2024OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
827. ICML 2024On a Neural Implementation of Brenier's Polar Factorization
828. ICML 2024On Least Square Estimation in Softmax Gating Mixture of Experts
829. ICML 2024On the Asymptotic Distribution of the Minimum Empirical Risk
830. ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
831. ICML 2024Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints
832. ICML 2024Online Learning under Budget and ROI Constraints via Weak Adaptivity
833. ICML 2024Optimal Kernel Quantile Learning with Random Features
834. ICML 2024PAPM: A Physics-aware Proxy Model for Process Systems
835. ICML 2024Parameterized Physics-informed Neural Networks for Parameterized PDEs
836. ICML 2024PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
837. ICML 2024Physics and Lie symmetry informed Gaussian processes
838. ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
839. ICML 2024Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
840. ICML 2024Pluvial Flood Emulation with Hydraulics-informed Message Passing
841. ICML 2024Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
842. ICML 2024Position: Application-Driven Innovation in Machine Learning
843. ICML 2024Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
844. ICML 2024Position: Is machine learning good or bad for the natural sciences?
845. ICML 2024Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning
846. ICML 2024Position: What Can Large Language Models Tell Us about Time Series Analysis
847. ICML 2024Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
848. ICML 2024Predictive Coding beyond Correlations
849. ICML 2024Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
850. ICML 2024Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE

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.