3 papers
cs.CV2026
DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imaging with Quantum Detectors
Vittorio Palladino, Ahmet Enis Cetin
Ghost imaging reconstructs spatial information from a single-pixel bucket detector by correlating structured illumination patterns with scalar intensity measurements. While deep le…
cs.CV2026
EnergyLens: Interpretable Closed-Form Energy Models for Multimodal LLM Inference Serving
Vittorio Palladino, Gianluca Palermo, Michael E. Papka +1
As large language models span dense, mixture-of-experts, and state-space architectures and are deployed on heterogeneous accelerators under increasingly diverse multimodal workload…
cs.CV2026
WTHaar-Net: a Hybrid Quantum-Classical Approach
Vittorio Palladino, Tsai Idden, Ahmet Enis Cetin
Convolutional neural networks rely on linear filtering operations that can be reformulated efficiently in suitable transform domains. At the same time, advances in quantum computin…