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Vahideh Akhlaghi
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2020 – today
- 2021
- [c7]Hamed Omidvar, Vahideh Akhlaghi, Hao Su, Massimo Franceschetti, Rajesh K. Gupta:
Associative Convolutional Layers. AISTATS 2021: 3115-3123 - 2020
- [b1]Vahideh Akhlaghi:
Algorithm-Hardware Optimization of Deep Neural Networks for Edge Applications. University of California, San Diego, USA, 2020
2010 – 2019
- 2019
- [c6]Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta:
Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. DATE 2019: 1112-1117 - [i2]Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti, Rajesh K. Gupta:
Associative Convolutional Layers. CoRR abs/1906.04309 (2019) - 2018
- [c5]Vahideh Akhlaghi, Sicun Gao, Rajesh K. Gupta:
LEMAX: learning-based energy consumption minimization in approximate computing with quality guarantee. DAC 2018: 161:1-161:6 - [c4]Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta:
Energy-efficient neural networks using approximate computation reuse. DATE 2018: 1223-1228 - [c3]Vahideh Akhlaghi, Amir Yazdanbakhsh, Kambiz Samadi, Rajesh K. Gupta, Hadi Esmaeilzadeh:
SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks. ISCA 2018: 662-673 - 2016
- [c2]Vahideh Akhlaghi, Abbas Rahimi, Rajesh K. Gupta:
Resistive Bloom filters: From approximate membership to approximate computing with bounded errors. DATE 2016: 1441-1444 - [i1]Jason Koh, Bharathan Balaji, Vahideh Akhlaghi, Yuvraj Agarwal, Rajesh Gupta:
Quiver: Using Control Perturbations to Increase the Observability of Sensor Data in Smart Buildings. CoRR abs/1601.07260 (2016) - 2015
- [j1]Vahideh Akhlaghi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
An efficient network on-chip architecture based on isolating local and non-local communications. Comput. Electr. Eng. 45: 430-444 (2015) - 2013
- [c1]Vahideh Akhlaghi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
An efficient network on-chip architecture based on isolating local and non-local communications. DATE 2013: 350-353
Coauthor Index
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