Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. - Aditya Rajagopal; Christos-Savvas Bouganis (CVPR Workshops, 2020)

Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. - Diederik Adriaan Vink; Aditya Rajagopal; Stylianos I. Venieris; Christos-Savvas Bouganis (FPL, 2020)

Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. - Aditya Rajagopal; Diederik Adriaan Vink; Stylianos I. Venieris; Christos-Savvas Bouganis (ICML, 2020)

perf4sight: A toolflow to model CNN training performance on Edge GPUs. - Aditya Rajagopal; Christos-Savvas Bouganis (ICCVW, 2021)

Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. - Aditya Rajagopal; Christos-Savvas Bouganis (CoRR, 2022)

GSA to HDL: Towards principled generation of dynamically scheduled circuits. - Aditya Rajagopal; Diederik Adriaan Vink; Jianyi Cheng; Yann Herklotz (CoRR, 2023)