Zissis Poulos

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Parameter Adjustment

Language Modeling

Convertible Bonds

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

iThings/GreenCom/CPSCom/SmartData

IEEE Trans. Engineering Management

Publications

Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang
A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning. ICASSP (2024)
Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning. CoRR (2024)
Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan
Gamma and vega hedging using deep distributional reinforcement learning. Frontiers Artif. Intell. 6 (2023)
Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning. CoRR (2022)
Jay Cao, Jacky Chen, John Hull, Zissis Poulos
Deep Hedging of Derivatives Using Reinforcement Learning. CoRR (2021)
Jay Cao, Jacky Chen, John Hull, Zissis Poulos
Valuing Exotic Options and Estimating Model Risk. CoRR (2021)
Neil Veira, Zissis Poulos, Andreas G. Veneris
Searching for Bugs Using Probabilistic Suspect Implications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Keerthi Nelaturu, John Adler, Marco Merlini, Ryan Berryhill, Neil Veira, Zissis Poulos, Andreas G. Veneris
On Public Crowdsource-Based Mechanisms for a Decentralized Blockchain Oracle. IEEE Trans. Engineering Management 67 (4) (2020)
Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos
Laconic deep learning inference acceleration. ISCA (2019)
Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. ASPLOS (2019)
Zissis Poulos, Ali Nouri, Andreas Moshovos
Training CNNs faster with Dynamic Input and Kernel Downsampling. CoRR (2019)
Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos
Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro 39 (5) (2019)
Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO (2019)
Ali Hadi Zadeh, Zissis Poulos, Andreas Moshovos
Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors. IISWC (2019)
Neil Veira, Zissis Poulos, Andreas G. Veneris
Suspect2vec: a suspect prediction model for directed RTL debugging. ASP-DAC (2019)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Exploiting Typical Values to Accelerate Deep Learning. Computer 51 (5) (2018)
Neil Veira, Zissis Poulos, Andreas G. Veneris
Suspect set prediction in RTL bug hunting. DATE (2018)
John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania
Astraea: A Decentralized Blockchain Oracle. CoRR (2018)
Zissis Poulos, Andreas G. Veneris
Failure Triage in RTL Regression Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (9) (2018)
John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania
Astraea: A Decentralized Blockchain Oracle. iThings/GreenCom/CPSCom/SmartData (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Mostafa Mahmoud, Tayler H. Hetherington, Milos Nikolic, Dylan Malone Stuart, Kevin Siu, Zissis Poulos, Tor M. Aamodt, Natalie D. Enright Jerger
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. NEWCAS (2018)
Alberto Delmas, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Andreas Moshovos
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How. CoRR (2018)
Koushik Pal, Zissis Poulos, Edward Kim, Andreas G. Veneris
Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism. ICDM (2017)
Ryan Berryhill, Neil Veira, Andreas G. Veneris, Zissis Poulos
Learning lemma support graphs in Quip and IC3. IVSW (2017)
Zissis Poulos, Ryan Berryhill, John Adler, Andreas G. Veneris
On simulation-based metrics that characterize the behavior of RTL errors. SummerSim (2016)
Zissis Poulos, Andreas G. Veneris
Exemplar-based Failure Triage for Regression Design Debugging. J. Electron. Test. 32 (2) (2016)
Zissis Poulos, Andreas G. Veneris
Mining simulation metrics for failure triage in regression testing. IOLTS (2015)
Djordje Maksimovic, Andreas G. Veneris, Zissis Poulos
Clustering-based revision debug in regression verification. ICCD (2015)
Zissis Poulos, Andreas G. Veneris
Exemplar-based failure triage for regression design debugging. LATS (2015)
Zissis Poulos, Andreas G. Veneris
Clustering-based failure triage for RTL regression debugging. ITC (2014)
Zissis Poulos, Yu-Shen Yang, Andreas G. Veneris, Bao Le
Simulation and satisfiability guided counter-example triage for RTL design debugging. ISQED (2014)
Bao Le, Dipanjan Sengupta, Andreas G. Veneris, Zissis Poulos
Accelerating post silicon debug of deep electrical faults. IOLTS (2013)
Zissis Poulos, Yu-Shen Yang, Andreas G. Veneris
A failure triage engine based on error trace signature extraction. IOLTS (2013)
Zissis Poulos, Yu-Shen Yang, Jason Helge Anderson, Andreas G. Veneris, Bao Le
Leveraging reconfigurability to raise productivity in FPGA functional debug. DATE (2012)