Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimationby Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa,…
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clusteringby Sarwan Ali, Prakash Chourasia,…
Efficient Sparse PCA via Block-Diagonalizationby Alberto Del Pia, Dekun Zhou, Yinglun ZhuFirst submitted to arxiv…
Interpreting Temporal Graph Neural Networks with Koopman Theoryby Michele Guerra, Simone Scardapane, Filippo Maria BianchiFirst…
Game Theory Meets Statistical Mechanics in Deep Learning Designby Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye,…
TL-PCA: Transfer Learning of Principal Component Analysisby Sharon Hendy, Yehuda DarFirst submitted to arxiv on:…
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsby Julius Aka, Johannes Brunnemann,…
Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Predictionby Zhuoran…
Principal Orthogonal Latent Components Analysis (POLCA Net)by Jose Antonio Martin H., Freddy Perozo, Manuel LopezFirst…
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibilityby Rajdeep Haldar, Yue Xing, Qifan Song, Guang…