84 citations · 318 across the 34 of their papers we have counts for
45 papers
LoRSA: Toward Generalizable Parameter-Efficient Fine-Tuning for Biomedical Downstream Tasks
Saed Moradi, Benyamin Ghojogh, M. Hadi Sepanj +2
Parameter-efficient fine-tuning enables the adaptation of vision foundation models to biomedical tasks under limited computational resources, but a single low-rank update can const…
Data Evolution by Wittgenstein's Rule Following
Aydin Ghojogh, Benyamin Ghojogh
This paper introduces Wittgenstein's Rule Following (WRF) data evolution, a framework in philomatics for evolving or generating a new dataset from a sequence of previously observed…
Foundations of Riemannian Geometry for Riemannian Optimization: A Monograph with Detailed Derivations
Benyamin Ghojogh
Riemannian geometry provides the fundamental framework for optimization on nonlinear spaces such as matrix manifolds, which arise in machine learning, signal processing, and roboti…
Similarity Algebra: A Framework for Approximate Algebraic and Lie Structures with Collapse to Classical Algebra
Benyamin Ghojogh, Golbahar Amanpour
Classical algebraic structures require exact satisfaction of their defining axioms. We propose similarity algebra, a framework extending algebraic and Lie structures to settings wh…
On the Relation of State Space Models and Hidden Markov Models
Aydin Ghojogh, M. Hadi Sepanj, Benyamin Ghojogh
State Space Models (SSMs) and Hidden Markov Models (HMMs) are foundational frameworks for modeling sequential data with latent variables and are widely used in signal processing, c…
Wittgenstein's Family Resemblance Clustering Algorithm
Golbahar Amanpour, Benyamin Ghojogh
This paper, introducing a novel method in philomatics, draws on Wittgenstein's concept of family resemblance from analytic philosophy to develop a clustering algorithm for machine…