2 citations · 2 across the 3 of their papers we have counts for
4 papers
Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems
Alex Barceló, Sebastián A. Cajas Ordoñez, Jaydeep Samanta +4
The increasing demand for artificial intelligence (AI) workloads across diverse computing environments has driven the need for more efficient data management strategies. Traditiona…
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
Sebastián Andrés Cajas Ordóñez, Luis Fernando Torres Torres, Mackenzie J. Meni +6
Deploying deep neural networks on resource-constrained devices faces two critical challenges: maintaining accuracy under aggressive quantization while ensuring predictable inferenc…
Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
Sebastián Andrés Cajas Ordóñez, Luis Fernando Torres Torres, Mario Bifulco +3
Quantum Support Vector Machines face scalability challenges due to high-dimensional quantum states and hardware limitations. We propose an embedding-aware quantum-classical pipelin…
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
Miguel Aspis, Sebastián A. Cajas Ordónez, Andrés L. Suárez-Cetrulo +1
Learning from non-stationary data streams subject to concept drift requires models that can adapt on-the-fly while remaining resource-efficient. Existing adaptive ensemble methods…