Zissis Poulos

37 papers A* 4A 3B 1C 4Misc 1Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2025 B conf
Modeling Loss-Versus-Rebalancing in Automated Market Makers via Continuous-Installment Options.
AFT
Srisht Fateh Singh, Reina Ke Xin Li, Samuel Gaskin, Yuntao Wu, Jeffrey Klinck, Panagiotis Michalopoulos, Zissis Poulos, Andreas G. Veneris
2024 J jnl
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning.
CoRR
Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang
2024 Misc conf
A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning.
ICASSP
Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang
2024 — conf
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning.
ICAIF
Parvin Malekzadeh, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis
2024 J jnl
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning.
CoRR
Parvin Malekzadeh, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis
2023 J jnl
Gamma and vega hedging using deep distributional reinforcement learning.
Frontiers Artif. Intell.
Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan
2022 J jnl
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning.
CoRR
Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan
2021 J jnl
Deep Hedging of Derivatives Using Reinforcement Learning.
CoRR
Jay Cao, Jacky Chen, John Hull, Zissis Poulos
2021 J jnl
Valuing Exotic Options and Estimating Model Risk.
CoRR
Jay Cao, Jacky Chen, John Hull, Zissis Poulos
2020 J jnl
On Public Crowdsource-Based Mechanisms for a Decentralized Blockchain Oracle.
IEEE Trans. Engineering Management
Keerthi Nelaturu, John Adler, Marco Merlini, Ryan Berryhill, Neil Veira, Zissis Poulos, Andreas G. Veneris
2020 J jnl
Searching for Bugs Using Probabilistic Suspect Implications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Neil Veira, Zissis Poulos, Andreas G. Veneris
2019 J jnl
Accelerating Image-Sensor-Based Deep Learning Applications.
IEEE Micro
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
2019 A* conf
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks.
ASPLOS
Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos
2019 — conf
Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors.
IISWC
Ali Hadi Zadeh, Zissis Poulos, Andreas Moshovos
2019 A* conf
Laconic deep learning inference acceleration.
ISCA
Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos
2019 A* conf
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning.
MICRO
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
2019 — conf
Suspect2vec: a suspect prediction model for directed RTL debugging.
ASP-DAC
Neil Veira, Zissis Poulos, Andreas G. Veneris
2019 J jnl
Training CNNs faster with Dynamic Input and Kernel Downsampling.
CoRR
Zissis Poulos, Ali Nouri, Andreas Moshovos
2018 — conf
Astraea: A Decentralized Blockchain Oracle.
iThings/GreenCom/CPSCom/SmartData
John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania
2018 J jnl
Astraea: A Decentralized Blockchain Oracle.
CoRR
John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania
2018 J jnl
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How.
CoRR
Alberto Delmas, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Andreas Moshovos
2018 J jnl
Exploiting Typical Values to Accelerate Deep Learning.
Computer
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
2018 J jnl
Failure Triage in RTL Regression Verification.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zissis Poulos, Andreas G. Veneris
2018 — conf
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning.
NEWCAS
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
2018 A conf
Suspect set prediction in RTL bug hunting.
DATE
Neil Veira, Zissis Poulos, Andreas G. Veneris
2017 A* conf
Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism.
ICDM
Koushik Pal, Zissis Poulos, Edward Kim, Andreas G. Veneris
2017 — conf
Learning lemma support graphs in Quip and IC3.
IVSW
Ryan Berryhill, Neil Veira, Andreas G. Veneris, Zissis Poulos
2016 J jnl
Exemplar-based Failure Triage for Regression Design Debugging.
J. Electron. Test.
Zissis Poulos, Andreas G. Veneris
2016 — conf
On simulation-based metrics that characterize the behavior of RTL errors.
SummerSim
Zissis Poulos, Ryan Berryhill, John Adler, Andreas G. Veneris
2015 C conf
Clustering-based revision debug in regression verification.
ICCD
Djordje Maksimovic, Andreas G. Veneris, Zissis Poulos
2015 — conf
Exemplar-based failure triage for regression design debugging.
LATS
Zissis Poulos, Andreas G. Veneris
2015 C conf
Mining simulation metrics for failure triage in regression testing.
IOLTS
Zissis Poulos, Andreas G. Veneris
2014 A conf
Clustering-based failure triage for RTL regression debugging.
ITC
Zissis Poulos, Andreas G. Veneris
2014 — conf
Simulation and satisfiability guided counter-example triage for RTL design debugging.
ISQED
Zissis Poulos, Yu-Shen Yang, Andreas G. Veneris, Bao Le
2013 C conf
A failure triage engine based on error trace signature extraction.
IOLTS
Zissis Poulos, Yu-Shen Yang, Andreas G. Veneris
2013 C conf
Accelerating post silicon debug of deep electrical faults.
IOLTS
Bao Le, Dipanjan Sengupta, Andreas G. Veneris, Zissis Poulos
2012 A conf
Leveraging reconfigurability to raise productivity in FPGA functional debug.
DATE
Zissis Poulos, Yu-Shen Yang, Jason Helge Anderson, Andreas G. Veneris, Bao Le