Matthew Mattina
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
14
Active years
2002–2022
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | HPCA | S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration. | Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina |
| 2021 | ICLR | Federated Learning Based on Dynamic Regularization. | Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama |
| 2021 | ICML | Debiasing Model Updates for Improving Personalized Federated Training. | Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama |
| 2021 | ISIT | Strong data processing inequality in neural networks with noisy neurons and its implications. | Chuteng Zhou, Quntao Zhuang, Matthew Mattina, Paul N. Whatmough |
| 2021 | ISLPED | Co-Designing Hardware and Models for Efficient On-Device ML Inference. | Matthew Mattina |
| 2021 | UAI | On the effects of quantisation on model uncertainty in Bayesian neural networks. | Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues |
| 2020 | CVPR | Ternary MobileNets via Per-Layer Hybrid Filter Banks. | Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina |
| 2020 | ECCV | Efficient Residue Number System Based Winograd Convolution. | Zhi Gang Liu, Matthew Mattina |
| 2020 | EMNLP | Rank and run-time aware compression of NLP Applications. | Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina |
| 2020 | ICPR | ISP4ML: The Role of Image Signal Processing in Efficient Deep Learning Vision Systems. | Patrick Hansen, Alexey Vilkin, Yury Krustalev, James Imber, Dumidu S. Talagala, David Hanwell, Matthew Mattina, Paul N. Whatmough |
| 2020 | Interspeech | TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. | Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough |
| 2020 | ISPASS | A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim. | Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna |
| 2019 | IJCAI | Learning Low-precision Neural Networks without Straight-Through Estimator (STE). | Zhi Gang Liu, Matthew Mattina |
| 2018 | ISCA | Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision. | Yuhao Zhu, Anand Samajdar, Matthew Mattina, Paul N. Whatmough |
| 2006 | HPCA | Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads. | Aamer Jaleel, Matthew Mattina, Bruce L. Jacob |
| 2002 | ISCA | Tarantula: A Vector Extension to the Alpha Architecture. | Roger Espasa, Federico Ardanaz, Julio Gago, Roger Gramunt, Isaac Hernandez, Toni Juan, Joel S. Emer, Stephen Felix, P. Geoffrey Lowney, Matthew Mattina, Andr Seznec |