Leveraging reconfigurability to raise productivity in FPGA functional debug. - Zissis Poulos; Yu-Shen Yang; Jason Helge Anderson; Andreas G. Veneris; Bao Le (DATE, 2012)

Accelerating post silicon debug of deep electrical faults. - Bao Le; Dipanjan Sengupta; Andreas G. Veneris; Zissis Poulos (IOLTS, 2013)

A failure triage engine based on error trace signature extraction. - Zissis Poulos; Yu-Shen Yang; Andreas G. Veneris (IOLTS, 2013)

Simulation and satisfiability guided counter-example triage for RTL design debugging. - Zissis Poulos; Yu-Shen Yang; Andreas G. Veneris; Bao Le (ISQED, 2014)

Clustering-based failure triage for RTL regression debugging. - Zissis Poulos; Andreas G. Veneris (ITC, 2014)

Clustering-based revision debug in regression verification. - Djordje Maksimovic; Andreas G. Veneris; Zissis Poulos (ICCD, 2015)

Mining simulation metrics for failure triage in regression testing. - Zissis Poulos; Andreas G. Veneris (IOLTS, 2015)

On simulation-based metrics that characterize the behavior of RTL errors. - Zissis Poulos; Ryan Berryhill; John Adler; Andreas G. Veneris (SummerSim, 2016)

Exemplar-based Failure Triage for Regression Design Debugging. - Zissis Poulos; Andreas G. Veneris (J. Electron. Test., 2016)

Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism. - Koushik Pal; Zissis Poulos; Edward Kim; Andreas G. Veneris (ICDM, 2017)

Learning lemma support graphs in Quip and IC3. - Ryan Berryhill; Neil Veira; Andreas G. Veneris; Zissis Poulos (IVSW, 2017)

Suspect set prediction in RTL bug hunting. - Neil Veira; Zissis Poulos; Andreas G. Veneris (DATE, 2018)

Astraea: A Decentralized Blockchain Oracle. - John Adler; Ryan Berryhill; Andreas G. Veneris; Zissis Poulos; Neil Veira; Anastasia Kastania (iThings/GreenCom/CPSCom/SmartData, 2018)

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas; Sayeh Sharify; Mostafa Mahmoud; Tayler H. Hetherington; Milos Nikolic 002; Dylan Malone Stuart; Kevin Siu; Zissis Poulos; Tor M. Aamodt; et al. (NEWCAS, 2018)

Exploiting Typical Values to Accelerate Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas Lascorz; Sayeh Sharify; Zissis Poulos; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger (Computer, 2018)

Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How. - Alberto Delmas; Patrick Judd; Dylan Malone Stuart; Zissis Poulos; Mostafa Mahmoud; Sayeh Sharify; Milos Nikolic 002; Andreas Moshovos (CoRR, 2018)

Failure Triage in RTL Regression Verification. - Zissis Poulos; Andreas G. Veneris (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Suspect2vec: a suspect prediction model for directed RTL debugging. - Neil Veira; Zissis Poulos; Andreas G. Veneris (ASP-DAC, 2019)

Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. - Alberto Delmas Lascorz; Patrick Judd; Dylan Malone Stuart; Zissis Poulos; Mostafa Mahmoud; Sayeh Sharify; Milos Nikolic 002; Kevin Siu; Andreas Moshovos (ASPLOS, 2019)

Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors. - Ali Hadi Zadeh; Zissis Poulos; Andreas Moshovos (IISWC, 2019)

Laconic deep learning inference acceleration. - Sayeh Sharify; Alberto Delmas Lascorz; Mostafa Mahmoud; Milos Nikolic 002; Kevin Siu; Dylan Malone Stuart; Zissis Poulos; Andreas Moshovos (ISCA, 2019)

ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. - Alberto Delmas Lascorz; Sayeh Sharify; Isak Edo Vivancos; Dylan Malone Stuart; Omar Mohamed Awad; Patrick Judd; Mostafa Mahmoud; Milos Nikolic 002; Kevin Siu; Zissis Poulos; Andreas Moshovos (MICRO, 2019)

Training CNNs faster with Dynamic Input and Kernel Downsampling. - Zissis Poulos; Ali Nouri; Andreas Moshovos (CoRR, 2019)

Accelerating Image-Sensor-Based Deep Learning Applications. - Mostafa Mahmoud; Dylan Malone Stuart; Zissis Poulos; Alberto Delmas Lascorz; Patrick Judd; Sayeh Sharify; Milos Nikolic 002; Kevin Siu; Isak Edo Vivancos; Jorge Albericio; Andreas Moshovos (IEEE Micro, 2019)

Searching for Bugs Using Probabilistic Suspect Implications. - Neil Veira; Zissis Poulos; Andreas G. Veneris (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

On Public Crowdsource-Based Mechanisms for a Decentralized Blockchain Oracle. - Keerthi Nelaturu; John Adler; Marco Merlini; Ryan Berryhill; Neil Veira; Zissis Poulos; Andreas G. Veneris (IEEE Trans. Engineering Management, 2020)

Valuing Exotic Options and Estimating Model Risk. - Jay Cao; Jacky Chen; John Hull; Zissis Poulos (CoRR, 2021)

Deep Hedging of Derivatives Using Reinforcement Learning. - Jay Cao; Jacky Chen; John Hull; Zissis Poulos (CoRR, 2021)

Gamma and vega hedging using deep distributional reinforcement learning. - Jay Cao; Jacky Chen; Soroush Farghadani; John Hull; Zissis Poulos; Zeyu Wang; Jun Yuan (Frontiers Artif. Intell., 2023)

EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. - Parvin Malekzadeh; Zissis Poulos; Jacky Chen; Zeyu Wang; Konstantinos N. Plataniotis (ICAIF, 2024)

A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning. - Parvin Malekzadeh; Konstantinos N. Plataniotis; Zissis Poulos; Zeyu Wang (ICASSP, 2024)