| Astraea: A decentralized blockchain oracle J Adler, R Berryhill, A Veneris, Z Poulos, N Veira, A Kastania 2018 IEEE international conference on internet of things (IThings) and IEEE …, 2018 | 270 | 2018 |
| Bit-tactical: A software/hardware approach to exploiting value and bit sparsity in neural networks A Delmas Lascorz, P Judd, DM Stuart, Z Poulos, M Mahmoud, S Sharify, ... Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 135 | 2019 |
| Laconic deep learning inference acceleration S Sharify, AD Lascorz, M Mahmoud, M Nikolic, K Siu, DM Stuart, Z Poulos, ... Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 129 | 2019 |
| Deep hedging of derivatives using reinforcement learning J Cao, J Chen, J Hull, Z Poulos arXiv preprint arXiv:2103.16409, 2021 | 107 | 2021 |
| On public crowdsource-based mechanisms for a decentralized blockchain oracle K Nelaturu, J Adler, M Merlini, R Berryhill, N Veira, Z Poulos, A Veneris IEEE Transactions on Engineering Management 67 (4), 1444-1458, 2020 | 50 | 2020 |
| Shapeshifter: Enabling fine-grain data width adaptation in deep learning AD Lascorz, S Sharify, I Edo, DM Stuart, OM Awad, P Judd, M Mahmoud, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 46 | 2019 |
| Exploiting Typical Values to Accelerate Deep Learning A Moshovos, J Albericio, P Judd, AD Lascorz, S Sharify, Z Poulos, ... Computer 51 (5), 18-30, 2018 | 46 | 2018 |
| Variational autoencoders: A hands-off approach to volatility M Bergeron, N Fung, J Hull, Z Poulos arXiv preprint arXiv:2102.03945, 2021 | 40 | 2021 |
| Bit-tactical: Exploiting ineffectual computations in convolutional neural networks: Which, why, and how A Delmas, P Judd, DM Stuart, Z Poulos, M Mahmoud, S Sharify, M Nikolic, ... arXiv preprint arXiv:1803.03688, 2018 | 39 | 2018 |
| Gamma and vega hedging using deep distributional reinforcement learning J Cao, J Chen, S Farghadani, J Hull, Z Poulos, Z Wang, J Yuan Frontiers in Artificial Intelligence 6, 1129370, 2023 | 24 | 2023 |
| Clustering-based failure triage for rtl regression debugging Z Poulos, A Veneris 2014 International Test Conference, 1-10, 2014 | 23 | 2014 |
| Leveraging reconfigurability to raise productivity in FPGA functional debug Z Poulos, YS Yang, J Anderson, A Veneris, B Le 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE), 292-295, 2012 | 16 | 2012 |
| Clustering-based revision debug in regression verification D Maksimovic, A Veneris, Z Poulos 2015 33rd IEEE International Conference on Computer Design (ICCD), 32-37, 2015 | 15 | 2015 |
| Deep learning for exotic option valuation J Cao, J Chen, J Hull, Z Poulos arXiv preprint arXiv:2103.12551, 2021 | 13 | 2021 |
| Deep learning language modeling workloads: where time goes on graphics processors AH Zadeh, Z Poulos, A Moshovos 2019 IEEE International Symposium on Workload Characterization (IISWC), 131-142, 2019 | 13 | 2019 |
| Exemplar-based failure triage for regression design debugging Z Poulos, A Veneris Journal of Electronic Testing 32 (2), 125-136, 2016 | 10 | 2016 |
| Simulation and satisfiability guided counter-example triage for rtl design debugging Z Poulos, YS Yang, A Veneris, B Le Fifteenth International Symposium on Quality Electronic Design, 618-624, 2014 | 10 | 2014 |
| Failure triage in RTL regression verification Z Poulos, A Veneris IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 7 | 2017 |
| A failure triage engine based on error trace signature extraction Z Poulos, YS Yang, A Veneris 2013 IEEE 19th International On-Line Testing Symposium (IOLTS), 73-78, 2013 | 7 | 2013 |
| Astraea: A decentralized blockchain oracle. In 2018 IEEE iThings and IEEE GreenCom and IEEE CPSCom and IEEE SmartData J Adler, R Berryhill, A Veneris, Z Poulos, N Veira, A Kastania IEEE 93, 1145-1152, 2018 | 6 | 2018 |
Andreas VenerisConnaught Scholar and Professor of Electrical and Computer Engineering, cross-appointed withVerified email at eecg.toronto.edu
