GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reductionby Su Jiang, Chuyang…
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoderby…
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clusteringby Sarwan Ali, Prakash Chourasia,…
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projectionby Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi…
On the Relation Between Linear Diffusion and Power Iterationby Dana Weitzner, Mauricio Delbracio, Peyman Milanfar,…
Efficient Sparse PCA via Block-Diagonalizationby Alberto Del Pia, Dekun Zhou, Yinglun ZhuFirst submitted to arxiv…
Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them allby Ihab…
An Exact Finite-dimensional Explicit Feature Map for Kernel Functionsby Kamaledin Ghiasi-Shirazi, Mohammadreza QaraeiFirst submitted to…
TL-PCA: Transfer Learning of Principal Component Analysisby Sharon Hendy, Yehuda DarFirst submitted to arxiv on:…
A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decompositionby Frederiek Wesel, Kim BatselierFirst submitted…