A.Kouris, S.Venieris, M.Rizakis, C.S.Bouganis, Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars, in IEEE Consumer Electronics Magazine (CEM); to appear - acceptance date: 28-Oct-2019

S.Venieris, A.Kouris, C.S.Bouganis, Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions,in ACM Computing Surveys (CSUR), vol.51, no.3, pages39, Jun. 2018

A.Kouris, F.Dimeas, N.Aspragathos, A Frequency Domain Approach for Contact Type Distinction in Human–Robot Collaboration, in IEEE Robotics and Automation Letters (RA-L), vol.3, no.2, pp.720-727, Jan. 2018

I.E.Venetis, A.Kouris, A.Sobczyk, E.Gallopoulos, A.H.Sameh, A direct tridiagonal solver based on Givens rotations for GPU architectures, in Parallel Computing, vol.49, no.C, pp.101-116, Nov. 2015

A.Kouris, S.Venieris, S.Laskaridis, N.D.Lane, Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs, Preprint, 2022

A.Kouris, S.Venieris, S.Laskaridis, N.D.Lane, Multi-Exit Semantic Segmentation Networks, in European Conference on Computer Vision (ECCV), 2022

H.Fan, T.Chau, S.Venieris, R.Lee, A.Kouris, W.Lyk, N.D.Lane, M.S.Abdelfattah, Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design, in IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022

A.Kouris, S.Venieris, C.S.Bouganis, A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers, in Design Automation and Test in Europe Conference (DATE), 2020

A.Kouris, C.Kyrkou, C.S.Bouganis, Informed Region Selection for Efficient UAV-based Object Detectors:Altitude-aware Vehicle Detection with CyCAR Dataset, in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

A.Kouris, S.Venieris, C.S.Bouganis, Towards Efficient On-Board Deployment of Deep Neural Networks on Intelligent Autonomous Systems, in IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2019

A.Kouris, C.S. Bouganis, Learning to Fly by MySelf: A Self-Supervised CNN-based Approach for Autonomous Navigation, in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018

.A.Kouris, S.Venieris, C.S.Bouganis, CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks, in 2018 International Conference on Field Programmable Logic and Applications (FPL), 2018

A.Toumpa, A.Kouris, F.Dimeas, N.Aspragathos, Control of a line following robot based on FSM estimation, in 2018 IFAC International Symposium on Robot Control (SyRoCo), 2018

M.Rizakis, S.Venieris, A.Kouris, C.S.Bouganis, Approximate FPGA-based LSTMs under Computation Time Constraints, in 2018 International Symposium in Applied Reconfigurable Computing (ARC), 2018; Best paper award candidate  

A.Kouris, S.Venieris, C.S.Bouganis, CascadeCNN: Pushing the Performance Limits of Quantisation, in Systems and Machine Learning (SysML) Conference, 2018

A.Kouris, F.Dimeas, N.Aspragathos, Contact distinction in human-robot cooperation with admittance control, in 2016 IEEE International Conferenceon Systems, Man and Cybernetics (SMC), 2016

I.E.Venetis, A.Sobczyk, A.Kouris, A.Nakos, N.Nikoloutsakos, E.Gallopoulos, A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi, in 2016 International Conference on Parallel Computing (ParCo), 2016

S.Laskaridis, A.Kouris, N.D.Lane, Adaptive inference through early-exit networks: Design, challenges and directions, in MobiSys 2021 5th International Workshop on Embedded and Mobile Deep Learning (EMDL), 2021

S.Venieris, A.Kouris, C.S.Bouganis, Deploying Deep Neural Networks in the Embedded Space, in MobiSys 2018 2nd International Workshop on Embedded and Mobile Deep Learning (EMDL), 2018

I.E.Venetis, A.Nakos, A.Kouris, E.Gallopoulos, Exploring Vectorization Possibilities on the Intel Xeon Phi for Solving Tridiagonal Systems, in 9th International Workshop on Parallel Matrix Algorithms and Applications (PMAA), 2016

I.E.Venetis, A.Nakos, A.Kouris, E.Gallopoulos, Revisiting the Spike-based framework for GPU banded solvers: A Givens rotation approach for tridiagonal systems in CUDA, in 8th International Workshop on Parallel Matrix Algorithms and Applications (PMAA), 2014