Aayush Ankit

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Papers (9)

1. PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design cs.LG · 2019 · author #2
2. Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge cs.LG · 2019 · author #3
3. PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference cs.ET · 2019 · author #1
4. Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays cs.ET · 2018 · author #6
5. An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing the Low Power,Stochastic Brain cs.ET · 2017 · author #2
6. SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive cs.ET · 2017 · author #2
7. TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design cs.ET · 2017 · author #1
8. RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks cs.ET · 2017 · author #1
9. FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition cs.CV · 2016 · author #2

Mentions

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Frequent Coauthors

• Kaushik Roy 9 shared papers
• Abhronil Sengupta 3 shared papers
• Amogh Agrawal 2 shared papers
• Deboleena Roy 2 shared papers
• Parami Wijesinghe 2 shared papers
• Priyadarshini Panda 2 shared papers
• Akhilesh Jaiswal 1 shared papers
• Amirkoushyar Ziabari 1 shared papers
• Bing Han 1 shared papers
• Dejan S Milojicic 1 shared papers
• Geoffrey Ndu 1 shared papers
• Gopalakrishnan Srinivasan 1 shared papers
• Indranil Chakraborty 1 shared papers
• Izzat El Hajj 1 shared papers
• John Paul Strachan 1 shared papers
• Martin Foltin 1 shared papers
• Maryam Parsa 1 shared papers
• Paolo Faraboschi 1 shared papers
• R. Stanley Williams 1 shared papers
• Sai Rahul Chalamalasetti 1 shared papers