Summary of Scientific Machine Learning in Ecological Systems: a Study on the Predator-prey Dynamics, by Ranabir Devgupta et al.
Scientific machine learning in ecological systems: A study on the predator-prey dynamicsby Ranabir Devgupta, Raj…
Summary of Computable Model-independent Bounds For Adversarial Quantum Machine Learning, by Bacui Li et al.
Computable Model-Independent Bounds for Adversarial Quantum Machine Learningby Bacui Li, Tansu Alpcan, Chandra Thapa, Udaya…
Summary of Effect Sizes As a Statistical Feature-selector-based Learning to Detect Breast Cancer, by Nicolas Masino et al.
Effect sizes as a statistical feature-selector-based learning to detect breast cancerby Nicolas Masino, Antonio Quintero-RinconFirst…
Summary of Scmedal For the Interpretable Analysis Of Single-cell Transcriptomics Data with Batch Effect Visualization Using a Deep Mixed Effects Autoencoder, by Aixa X. Andrade et al.
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a…
Summary of Inductive Graph Few-shot Class Incremental Learning, by Yayong Li et al.
Inductive Graph Few-shot Class Incremental Learningby Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr…
Summary of Understanding Scaling Laws with Statistical and Approximation Theory For Transformer Neural Networks on Intrinsically Low-dimensional Data, by Alex Havrilla et al.
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional…
Summary of Machine Learning-enabled Velocity Model Building with Uncertainty Quantification, by Rafael Orozco et al.
Machine learning-enabled velocity model building with uncertainty quantificationby Rafael Orozco, Huseyin Tuna Erdinc, Yunlin Zeng,…
Summary of Renaissance: Investigating the Pretraining Of Vision-language Encoders, by Clayton Fields et al.
Renaissance: Investigating the Pretraining of Vision-Language Encodersby Clayton Fields, Casey KenningtonFirst submitted to arxiv on:…
Summary of An Efficient Memory Module For Graph Few-shot Class-incremental Learning, by Dong Li et al.
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learningby Dong Li, Aijia Zhang, Junqi Gao,…
Summary of Bridge: a Unified Framework to Knowledge Graph Completion Via Language Models and Knowledge Representation, by Qiao Qiao et al.
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representationby Qiao…