Is your feature request related to a problem? Please describe.
There are too many Uncategorized papers
Describe the solution you'd like
Provide a decent guess of category based on the paper title with OpenAI API.
Describe alternatives you've considered
Internet crawl. It only works on a limited subset of papers.
Performance
I utilized all the papers on our website that have actual category labels and compared the predictions made by OpenAI. Although it is not flawless, considering the minimal effort required, I believe it is an efficient solution. If you @cranmer approve, I can use the script to predicts all the remaining papers that haven't been labeled yet.
This is the raw outcome:
true: Neuroscience -> predicted: Neuroscience | title: Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference
true: Astrophysics -> predicted: Astrophysics | title: SimBIG: mock challenge for a forward modeling approach to galaxy clustering
true: Physics -> predicted: Physics | title: Graph-informed simulation-based inference for models of active matter
true: Astrophysics -> predicted: Astrophysics | title: Albatross: A scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way
true: Physics -> predicted: Physics and Astronomy | title: Peregrine: Sequential simulation-based inference for gravitational wave signals
true: Computer Science -> predicted: Neuroscience | title: Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware
true: Astrophysics -> predicted: Astronomy/Astrophysics | title: Investigating the turbulent hot gas in X-COP galaxy clusters
true: Astrophysics -> predicted: Astrophysics and astronomy | title: Constraining the X-ray heating and reionization using 21-cm power spectra with Marginal Neural Ratio Estimation
true: Bioinformatics -> predicted: Genomics | title: Modelling capture efficiency of single cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics
true: Physics -> predicted: Computational physics | title: Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning
true: Neuroscience -> predicted: Neuroscience | title: Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types
true: Neuroscience -> predicted: Neuroscience | title: Bayesian Inference of a Spectral Graph Model for Brain Oscillations
true: Neuroscience -> predicted: Neuroscience | title: Recurrent connectivity structure controls the emergence of co-tuned excitation and inhibition
true: Computer Science -> predicted: Artificial Intelligence/Machine Learning | title: SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints
true: Evolutionary biology -> predicted: Mathematical Modeling | title: PhyloCoalSimulations: A simulator for network multispecies coalescent models, including a new extension for the inheritance of gene flow
true: Astrophysics -> predicted: Physics and Astronomy | title: Debiasing Standard Siren Inference of the Hubble Constant with Marginal Neural Ratio Estimation
true: Systems biology -> predicted: Machine learning | title: Missing data in amortized simulation-based neural posterior estimation
true: Evolutionary biology -> predicted: Genetics and Evolution | title: Mutation rate, selection, and epistasis inferred from RNA virus haplotypes via neural posterior estimation
true: Astrophysics -> predicted: Astronomy and Astrophysics | title: A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey
true: Statistics -> predicted: Computer Science / Machine Learning | title: Validation Diagnostics for SBI algorithms based on Normalizing Flows
true: Astrophysics -> predicted: Neuroscience | title: Detection is truncation: studying source populations with truncated marginal neural ratio estimation
true: Astrophysics -> predicted: Astrophysics | title: Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference
true: Astrophysics -> predicted: Astronomy | title: Amortized Bayesian Inference for Supernovae in the Era of the Vera Rubin Observatory Using Normalizing Flows
true: Astrophysics -> predicted: Statistics | title: Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
true: Astrophysics -> predicted: Category: Astrophysics/Astronomy | title: DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation
true: Computer Science -> predicted: Statistics and Probability | title: Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference
true: Computer Science -> predicted: Artificial Intelligence | title: Efficient Data Mosaicing with Simulation-based Inference
true: Economics -> predicted: Statistics and Probability | title: Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference
true: Statistics -> predicted: Machine Learning | title: New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation
true: Statistics -> predicted: Statistics | title: Simulation-based inference of Bayesian hierarchical models while checking for model misspecification
true: Statistics -> predicted: Statistics | title: Truncated proposals for scalable and hassle-free simulation-based inference
true: Statistics -> predicted: Category: Statistics and Probability | title: A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful
true: Statistics -> predicted: Neuroscience | title: Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
true: Statistics -> predicted: Artificial Intelligence / Machine Learning | title: Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
true: Astrophysics -> predicted: Computer Science / Artificial Intelligence / Machine Learning | title: Uncovering dark matter density profiles in dwarf galaxies with graph neural networks
true: Astrophysics -> predicted: Astrophysics/Cosmology | title: Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference
true: Astrophysics -> predicted: Astronomy and Astrophysics | title: The Disordered Heterogeneous Universe: Galaxy Distribution and Clustering Across Length Scales
true: Astrophysics -> predicted: Computer Science / Machine Learning | title: Towards reconstructing the halo clustering and halo mass function of N-body simulations using neural ratio estimation
true: Statistics -> predicted: Mathematics and Statistics | title: Simulation-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms or Posterior Estimators for Inverse Problems
true: Computer Science -> predicted: Computational modeling | title: Calibrating Agent-based Models to Microdata with Graph Neural Networks
true: Computer Science -> predicted: Category: Computational Statistics and Data Analysis | title: Efficient identification of informative features in simulation-based inference
true: Astrophysics -> predicted: Cosmology | title: Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation
true: Astrophysics -> predicted: Astrophysics/Cosmology | title: The angular power spectrum of gravitational-wave transient sources as a probe of the large-scale structure
true: Quantitative Biology -> predicted: Computational biology and bioinformatics | title: Optimal Design of Experiments for Simulation-Based Inference of Mechanistic Acyclic Biological Networks
true: Statistics -> predicted: Statistics | title: A Note on Simulation-Based Inference by Matching Random Features
true: Statistics -> predicted: Climate science | title: Statistical constraints on climate model parameters using a scalable cloud-based inference framework
true: Physics -> predicted: Physics | title: Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows
true: Biophysics -> predicted: Biochemistry and Biophysics | title: A maximum mean discrepancy approach reveals subtle changes in α-synuclein dynamics
true: Statistics -> predicted: Computational Statistics | title: AABC: approximate approximate Bayesian computation when simulating a large number of data sets is computationally infeasible
true: Evolutionary biology -> predicted: Computational Biology | title: Inference of population genetics parameters using discriminator neural networks: an adversarial Monte Carlo approach
true: Statistics -> predicted: Statistics | title: Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity
true: Astrophysics -> predicted: Astrophysics/Cosmology | title: One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses
true: Astrophysics -> predicted: Cosmology | title: The likelihood of the 21-cm power spectrum
true: Astrophysics -> predicted: Computational Statistics | title: Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time
true: Astrophysics -> predicted: Astrophysics | title: Population-Level Inference of Strong Gravitational Lenses with Neural Network-Based Selection Correction
true: Neuroscience -> predicted: Neuroscience | title: Eye-region specific ribbon tuning supports distinct modes of synaptic transmission in same-type cone-photoreceptors
true: Computer Science -> predicted: Machine Learning/Artificial Intelligence | title: Transformers Can Do Bayesian Inference
true: Statistics -> predicted: Mathematics/Statistics | title: Iterated filtering methods for Markov process epidemic models
true: Mathematics -> predicted: Statistics | title: A General Approach for Simulation-based Bias Correction in High Dimensional Settings
true: Computer Science -> predicted: Astronautics and space engineering | title: Spacecraft Collision Risk Assessment with Probabilistic Programming
true: Bioinformatics -> predicted: Categorical Data Analysis | title: Efficient inference for agent-based models of real-world phenomena
true: Statistics -> predicted: Mathematical Modeling | title: A simulation-based study of Zero-inflated Bernoulli model with various models for the susceptible probability
true: Astrophysics -> predicted: Physics | title: Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference
true: Statistics -> predicted: Statistics | title: Generalised likelihood profiles for models with intractable likelihoods
true: Statistics -> predicted: Mathematics / Statistics | title: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
true: Computer Science -> predicted: Mathematics | title: The Theory and Algorithm of Ergodic Inference
true: Statistics -> predicted: Machine learning and statistical methods | title: Learning summary features of time series for likelihood free inference
true: Evolutionary biology -> predicted: Computational Biology and Bioinformatics | title: PipeMaster: inferring population divergence and demographic history with approximate Bayesian computation and supervised machine-learning in R
true: Physics -> predicted: Thermodynamics | title: Quantitative Microscale Thermometry in Droplets Loaded with Gold Nanoparticles
true: Statistics -> predicted: Mathematics (specifically Probability and Statistics) | title: A Piecewise Deterministic Markov Process via $(r,θ)$ swaps in hyperspherical coordinates
true: Statistics -> predicted: Statistics | title: Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields
true: Epidemiology -> predicted: Infectious Diseases | title: Quantifying transmission of emerging zoonoses: using mathematical models to maximize the value of surveillance data
true: Astrophysics -> predicted: Astronomy and Astrophysics | title: The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
true: Astrophysics -> predicted: Astrophysics/Cosmology | title: Deep Machine Learning in Cosmology: Evolution or Revolution?
true: Astrophysics -> predicted: Astronomy and Astrophysics | title: Cosmology from Galaxy Redshift Surveys with PointNet
true: Astrophysics -> predicted: Astrophysics/Cosmology | title: GLASS: Generator for Large Scale Structure
true: Quantitative Biology -> predicted: Biology/Biochemistry | title: Experimental design for causal query estimation in partially observed biomolecular networks
true: Astrophysics -> predicted: Mathematics/Statistics | title: Modeling halo and central galaxy orientations on the SO(3) manifold with score-based generative models
true: Statistics -> predicted: Statistics and Probability | title: Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
true: Statistics -> predicted: Statistics | title: Accelerating Bayesian inference for stochastic epidemic models using incidence data
true: Statistics -> predicted: Statistics | title: An integer grid bridge sampler for the Bayesian inference of incomplete birth-death records
true: Neuroscience -> predicted: Neuroscience | title: The virtual aging brain: a model-driven explanation for cognitive decline in older subjects
true: Statistics -> predicted: Statistics | title: A Flexible Bias Correction Method based on Inconsistent Estimators
true: Statistics -> predicted: Computational Statistics | title: bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R
true: Astrophysics -> predicted: Astrophysics | title: Deducing Neutron Star Equation of State from Telescope Spectra with Machine-learning-derived Likelihoods
true: Statistics -> predicted: Statistics | title: Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distribution
true: Statistics -> predicted: cognitive neuroscience | title: Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition
true: Systems biology -> predicted: Mathematical modeling | title: A profile likelihood-based workflow for identifiability analysis, estimation, and prediction with mechanistic mathematical models
true: Evolutionary biology -> predicted: Bioinformatics | title: Deep Learning from Phylogenies for Diversification Analyses
true: Statistics -> predicted: Statistics | title: Learning Optimal Test Statistics in the Presence of Nuisance Parameters
true: Computer Science -> predicted: Economics and Finance | title: Towards Evology: a Market Ecology Agent-Based Model of US Equity Mutual Funds
true: Computer Science -> predicted: Robotics | title: Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop
true: Systems biology -> predicted: Computational biology | title: FitMultiCell: Simulating and parameterizing computational models of multi-scale and multi-cellular processes
true: Economics -> predicted: Statistics | title: Moment Inequalities in the Context of Simulated and Predicted Variables
true: Physics -> predicted: Artificial Intelligence / Machine Learning (AI/ML) | title: Solving Simulation Systematics in and with AI/ML
true: Astrophysics -> predicted: Astrophysics | title: Automating Inference of Binary Microlensing Events with Neural Density Estimation
true: Statistics -> predicted: Mathematics / Statistics | title: A Deep Learning Method for Comparing Bayesian Hierarchical Models
true: Genetics -> predicted: Mathematics | title: Numerical simulation of the two-locus Wright-Fisher stochastic differential equation with application to approximating transition probability densities
true: Computer Science -> predicted: Statistics and Probability | title: SBI -- A toolkit for simulation-based inference
true: Statistics -> predicted: Statistics and Probability | title: Variational methods for simulation-based inference
true: Statistics -> predicted: Artificial Intelligence/Machine Learning | title: GATSBI: Generative Adversarial Training for Simulation-Based Inference
true: Astrophysics -> predicted: Cosmology | title: Robust simulation-based inference in cosmology with Bayesian neural networks
true: Computer Science -> predicted: Machine learning and statistics | title: Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference
true: Statistics -> predicted: Statistics | title: Learning Robust Statistics for Simulation-based Inference under Model Misspecification
true: Computer Science -> predicted: Computational Modeling and Simulation | title: Simultaneous identification of models and parameters of scientific simulators
true: Statistics -> predicted: Mathematics and Statistics | title: Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
true: Astrophysics -> predicted: Astronomy/Astrophysics | title: ERGO-ML: Towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic maps
true: Statistics -> predicted: Statistics | title: L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
Is your feature request related to a problem? Please describe. There are too many
UncategorizedpapersDescribe the solution you'd like Provide a decent guess of
categorybased on the paper title with OpenAI API.Describe alternatives you've considered Internet crawl. It only works on a limited subset of papers.
Performance I utilized all the papers on our website that have actual category labels and compared the predictions made by OpenAI. Although it is not flawless, considering the minimal effort required, I believe it is an efficient solution. If you @cranmer approve, I can use the script to predicts all the remaining papers that haven't been labeled yet.
This is the raw outcome: