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Showing 351–400 of 464 papers

TitleStatusHype
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities—0
Graph Value Iteration—0
Quantitative probing: Validating causal models using quantitative domain knowledgeCode1
Ab-initio quantum chemistry with neural-network wavefunctions—0
AI-coupled HPC Workflows—0
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studiesCode1
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
Accelerating Material Design with the Generative Toolkit for Scientific DiscoveryCode2
Deep Learning and Symbolic Regression for Discovering Parametric EquationsCode1
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics—0
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific DiscoveryCode1
AutoML Two-Sample TestCode1
Deep Learning Opacity in Scientific Discovery—0
Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome AnalysisCode1
A Computational Inflection for Scientific Discovery—0
To be or not to be an Integer? Encoding Variables for Mathematical Text—0
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement LearningCode0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
Evaluating the Adversarial Robustness for Fourier Neural Operators—0
Bayesian optimization with known experimental and design constraints for chemistry applicationsCode1
AbductionRules: Training Transformers to Explain Unexpected InputsCode1
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain—0
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach—0
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery—0
Rediscovering orbital mechanics with machine learning—0
AI Research Associate for Early-Stage Scientific Discovery—0
Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction—0
Reproducible, incremental representation learning with Rosetta VAE—0
Uniform-in-Phase-Space Data Selection with Iterative Normalizing FlowsCode0
Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning—0
Simulation Intelligence: Towards a New Generation of Scientific Methods—0
Learning from learning machines: a new generation of AI technology to meet the needs of science—0
From Kepler to Newton: Explainable AI for Science—0
AbductionRules: Training Transformers to Explain Unexpected Inputs—0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
Interpretable and Explainable Machine Learning for Materials Science and Chemistry—0
RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data—0
Applications and Techniques for Fast Machine Learning in Science—0
Learning quantum dynamics with latent neural ODEsCode1
Deep learning models for predicting RNA degradation via dual crowdsourcingCode0
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research—0
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular GraphsCode1
Fast Generic Interaction Detection for Model Interpretability and Compression—0
WHAT TO DO IF SPARSE REPRESENTATION LEARNING FAILS UNEXPECTEDLY?—0
Automatic Discovery and Description of Human Planning StrategiesCode0
Towards trustworthy explanations with gradient-based attribution methods—0
Scientific Argument with Supervised Learning—0
A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space—0
Secondary control activation analysed and predicted with explainable AICode0
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