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ORCIDZissis Poulos
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2020 – today
- 2024
[c21]Parvin Malekzadeh
, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis:
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. ICAIF 2024: 370-378- [c20]Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang:
A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning. ICASSP 2024: 6120-6124 - [i8]Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang:
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning. CoRR abs/2401.02325 (2024) - [i7]Parvin Malekzadeh, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis:
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. CoRR abs/2408.12446 (2024) - 2023
- [j7]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) - 2022
- [i6]Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan:
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning. CoRR abs/2205.05614 (2022) - 2021
- [i5]Jay Cao, Jacky Chen, John Hull, Zissis Poulos:
Valuing Exotic Options and Estimating Model Risk. CoRR abs/2103.12551 (2021) - [i4]Jay Cao, Jacky Chen, John Hull, Zissis Poulos:
Deep Hedging of Derivatives Using Reinforcement Learning. CoRR abs/2103.16409 (2021) - 2020
- [j6]Neil Veira, Zissis Poulos, Andreas G. Veneris:
Searching for Bugs Using Probabilistic Suspect Implications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5267-5280 (2020) - [j5]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): 1444-1458 (2020)
2010 – 2019
- 2019
- [j4]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): 26-35 (2019) - [c19]Neil Veira, Zissis Poulos, Andreas G. Veneris:
Suspect2vec: a suspect prediction model for directed RTL debugging. ASP-DAC 2019: 681-686 - [c18]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: 749-763 - [c17]Ali Hadi Zadeh, Zissis Poulos, Andreas Moshovos:
Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors. IISWC 2019: 131-142 - [c16]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: 304-317 - [c15]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: 28-41 - [i3]Zissis Poulos, Ali Nouri, Andreas Moshovos:
Training CNNs faster with Dynamic Input and Kernel Downsampling. CoRR abs/1910.06548 (2019) - 2018
- [j3]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): 18-30 (2018) - [j2]Zissis Poulos, Andreas G. Veneris:
Failure Triage in RTL Regression Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(9): 1893-1906 (2018) - [c14]Neil Veira, Zissis Poulos, Andreas G. Veneris:
Suspect set prediction in RTL bug hunting. DATE 2018: 1544-1549 - [c13]John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania:
Astraea: A Decentralized Blockchain Oracle. iThings/GreenCom/CPSCom/SmartData 2018: 1145-1152 - [c12]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: 356-360 - [i2]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 abs/1803.03688 (2018) - [i1]John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania:
Astraea: A Decentralized Blockchain Oracle. CoRR abs/1808.00528 (2018) - 2017
- [c11]Koushik Pal, Zissis Poulos, Edward Kim, Andreas G. Veneris:
Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism. ICDM 2017: 151-165 - [c10]Ryan Berryhill, Neil Veira, Andreas G. Veneris, Zissis Poulos:
Learning lemma support graphs in Quip and IC3. IVSW 2017: 105-110 - 2016
- [j1]Zissis Poulos, Andreas G. Veneris:
Exemplar-based Failure Triage for Regression Design Debugging. J. Electron. Test. 32(2): 125-136 (2016) - [c9]Zissis Poulos, Ryan Berryhill, John Adler, Andreas G. Veneris:
On simulation-based metrics that characterize the behavior of RTL errors. SummerSim 2016: 14 - 2015
- [c8]Djordje Maksimovic, Andreas G. Veneris, Zissis Poulos:
Clustering-based revision debug in regression verification. ICCD 2015: 32-37 - [c7]Zissis Poulos, Andreas G. Veneris:
Mining simulation metrics for failure triage in regression testing. IOLTS 2015: 182-187 - [c6]Zissis Poulos, Andreas G. Veneris:
Exemplar-based failure triage for regression design debugging. LATS 2015: 1-6 - 2014
- [c5]Zissis Poulos, Yu-Shen Yang, Andreas G. Veneris, Bao Le:
Simulation and satisfiability guided counter-example triage for RTL design debugging. ISQED 2014: 618-624 - [c4]Zissis Poulos, Andreas G. Veneris:
Clustering-based failure triage for RTL regression debugging. ITC 2014: 1-10 - 2013
- [c3]Bao Le, Dipanjan Sengupta, Andreas G. Veneris, Zissis Poulos:
Accelerating post silicon debug of deep electrical faults. IOLTS 2013: 61-66 - [c2]Zissis Poulos, Yu-Shen Yang, Andreas G. Veneris:
A failure triage engine based on error trace signature extraction. IOLTS 2013: 73-78 - 2012
- [c1]Zissis Poulos, Yu-Shen Yang, Jason Helge Anderson, Andreas G. Veneris, Bao Le:
Leveraging reconfigurability to raise productivity in FPGA functional debug. DATE 2012: 292-295
Coauthor Index
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