Massoud Pedram

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All published works

Action	Title	Year	Authors
+ PDF Chat	AR-SFQ: Asynchronous Reset Library Using {\alpha}-Cell Design	2025	Yasemin Kopur Beyza Zeynep Ucpinar Mustafa Altay Karamuftuoglu Sasan Razmkhah Massoud Pedram
+ PDF Chat	Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware	2025	Mustafa Altay Karamuftuoglu Beyza Zeynep Ucpinar Sasan Razmkhah Arash Fayyazi Mehdi Kamal Massoud Pedram
+ PDF Chat	SAIM: Scalable Analog Ising Machine for Solving Quadratic Binary Optimization Problems	2024	Sasan Razmkhah Jiyan Huang Mehdi Kamal Massoud Pedram
+ PDF Chat	MENAGE: Mixed-Signal Event-Driven Neuromorphic Accelerator for Edge Applications	2024	Armin Abdollahi Mehdi Kamal Massoud Pedram
+ PDF Chat	Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators	2024	Seyedarmin Azizi Mohammad Erfan Sadeghi Mehdi Kamal Massoud Pedram
+ PDF Chat	Low-Precision Mixed-Computation Models for Inference on Edge	2024	Seyedarmin Azizi Mahdi Nazemi Mehdi Kamal Massoud Pedram
+ PDF Chat	Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library	2024	Haolin Cong Sasan Razmkhah Mustafa Altay Karamuftuoglu Massoud Pedram
+ PDF Chat	Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation	2024	David Bin-Chia Wu Siyang Wang Mehdi Kamal Massoud Pedram
+ PDF Chat	CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference	2024	Mohammad Erfan Sadeghi Arash Fayyazi Suhas Somashekar Massoud Pedram
+ PDF Chat	ARCO:Adaptive Multi-Agent Reinforcement Learning-Based Hardware/Software Co-Optimization Compiler for Improved Performance in DNN Accelerator Design	2024	Arya Fayyazi Mehdi Kamal Massoud Pedram
+ PDF Chat	PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers	2024	Mohammad Erfan Sadeghi Arash Fayyazi Seyedarmin Azizi Massoud Pedram
+ PDF Chat	LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation	2024	Seyedarmin Azizi Souvik Kundu Massoud Pedram
+ PDF Chat	Superconductor bistable vortex memory for data storage and in-memory computing	2024	Mustafa Altay Karamuftuoglu Beyza Zeynep Ucpinar Sasan Razmkhah Massoud Pedram
+ PDF Chat	Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware	2024	Mustafa Altay Karamuftuoglu Beyza Zeynep Ucpinar Arash Fayyazi Sasan Razmkhah Mehdi Kamal Massoud Pedram
+ PDF Chat	Unsupervised SFQ-Based Spiking Neural Network	2024	Mustafa Altay Karamuftuoglu Beyza Zeynep Ucpinar Sasan Razmkhah Mehdi Kamal Massoud Pedram
+ PDF Chat	High-density superconductive logic circuits utilizing 0 and π josephson junctions	2024	Sasan Razmkhah Massoud Pedram
+ PDF Chat	Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy	2024	Seyedarmin Azizi Mahdi Nazemi Massoud Pedram
+ PDF Chat	Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks	2023	Jingkai Hong Arash Fayyazi Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+ PDF Chat	Better Than Worst-Case Decoding for Quantum Error Correction	2023	Gokul Subramanian Ravi Jonathan M. Baker Arash Fayyazi Sophia Fuhui Lin Ali Javadi-Abhari Massoud Pedram Frederic T. Chong
+	A Fast Training-Free Compression Framework for Vision Transformers	2023	Jung Hwan Heo Arash Fayyazi Mahdi Nazemi Massoud Pedram
+	RPU: The Ring Processing Unit	2023	Deepraj Soni Negar Neda Naifeng Zhang Benedict Reynwar Homer Gamil Benjamin Heyman Mohammed Nabeel Ahmad Al Badawi Yuriy Polyakov Kellie Canida
+	TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation	2023	David Bruce Cousins Yuriy Polyakov Ahmad Al Badawi Matthew French Andrew H. Schmidt Ajey P. Jacob Benedict Reynwar Kellie Canida Akhilesh Jaiswal Clynn Mathew
+	Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks	2023	Jingkai Hong Arash Fayyazi Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+	CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation	2023	Jung Hwan Heo Seyedarmin Azizi Arash Fayyazi Mahdi Nazemi Massoud Pedram
+	BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions	2023	Arash Fayyazi Mahdi Nazemi Armin Abdollahi Massoud Pedram
+	Brain Tumor Detection using Convolutional Neural Networks with Skip Connections	2023	Aupam Hamran Marzieh Vaeztourshizi Amirhossein Esmaili Massoud Pedram
+	A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits	2023	Masoud Zabihi Yanyue Xie Z. Li Peiyan Dong Geng Yuan Olivia Chen Massoud Pedram Yanzhi Wang
+	Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation	2023	Seyedarmin Azizi Mahdi Nazemi Arash Fayyazi Massoud Pedram
+	High-Density Superconductive Logic Circuits Utilizing 0 and $π$ Josephson Junctions	2023	Sasan Razmkhah Massoud Pedram
+	A Josephson Parametric Oscillator-Based Ising Machine	2023	Sasan Razmkhah Mehdi Kamal Nobuyuki Yoshikawa Massoud Pedram
+	Design of a Superconducting Multiflux Non-Destructive Readout Memory Unit	2023	Beyza Zeynep Ucpinar Yasemin Kopur Mustafa Altay Karamuftuoglu Sasan Razmkhah Massoud Pedram
+	An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks	2023	Beyza Zeynep Ucpinar Mustafa Altay Karamuftuoglu Sasan Razmkhah Massoud Pedram
+	Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library	2023	Haolin Cong Sasan Razmkhah Mustafa Altay Karamuftuoglu Massoud Pedram
+	Low-Precision Mixed-Computation Models for Inference on Edge	2023	Seyedarmin Azizi Mahdi Nazemi Mehdi Kamal Massoud Pedram
+ PDF Chat	Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis	2022	Soheil Nazar Shahsavani Arash Fayyazi Mahdi Nazemi Massoud Pedram
+	Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators	2022	Jung Hwan Heo Arash Fayyazi Amirhossein Esmaili Massoud Pedram
+ PDF Chat	DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic	2022	Mohammad Reza Jokar Richard Rines Ghasem Pasandi Haolin Cong Adam Holmes Yunong Shi Massoud Pedram Frederic T. Chong
+ PDF Chat	BMPQ: Bit-Gradient Sensitivity-Driven Mixed-Precision Quantization of DNNs from Scratch	2022	Souvik Kundu Shikai Wang Qirui Sun Peter A. Beerel Massoud Pedram
+ PDF Chat	A<sup>2</sup>P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks	2022	Mohsen Ahmadzadeh Mehdi Kamal Ali Afzali‐Kusha Massoud Pedram
+	A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness	2022	Souvik Kundu Sairam Sundaresan Massoud Pedram Peter A. Beerel
+	DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic	2022	Mohammad Reza Jokar Richard Rines Ghasem Pasandi Haolin Cong Adam Holmes Yunong Shi Massoud Pedram Frederic T. Chong
+	Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis	2022	Soheil Nazar Shahsavani Arash Fayyazi Mahdi Nazemi Massoud Pedram
+	Better Than Worst-Case Decoding for Quantum Error Correction	2022	Gokul Subramanian Ravi Jonathan M. Baker Arash Fayyazi Sophia Fuhui Lin Ali Javadi-Abhari Massoud Pedram Frederic T. Chong
+	AMR-MUL: An Approximate Maximally Redundant Signed Digit Multiplier	2022	Saba Amanollahi Mehdi Kamal Ali-Afzali-Kusha Massoud Pedram
+	HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise.	2021	Souvik Kundu Massoud Pedram Peter A. Beerel
+ PDF Chat	HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise	2021	Souvik Kundu Massoud Pedram Peter A. Beerel
+ PDF Chat	NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic	2021	Mahdi Nazemi Arash Fayyazi Amirhossein Esmaili Atharva Khare Soheil Nazar Shahsavani Massoud Pedram
+	NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic	2021	Mahdi Nazemi Arash Fayyazi Amirhossein Esmaili Atharva Khare Soheil Nazar Shahsavani Massoud Pedram
+ PDF Chat	Coarse2Fine: a two-stage training method for fine-grained visual classification	2021	Amir Erfan Eshratifar David Eigen Michael Gormish Massoud Pedram
+	A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks.	2021	Mohsen Ahmadzadeh Mehdi Kamal Ali Afzali‐Kusha Massoud Pedram
+	BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification	2021	Seyed Abolfazl Ghasemzadeh Erfan Bank-Tavakoli Mehdi Kamal Ali Afzali‐Kusha Massoud Pedram
+	Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression	2021	Souvik Kundu Gourav Datta Massoud Pedram Peter A. Beerel
+	BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch	2021	Souvik Kundu Shikai Wang Qirui Sun Peter A. Beerel Massoud Pedram
+	HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise	2021	Souvik Kundu Massoud Pedram Peter A. Beerel
+	NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic	2021	Mahdi Nazemi Arash Fayyazi Amirhossein Esmaili Atharva Khare Soheil Nazar Shahsavani Massoud Pedram
+ PDF Chat	Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference	2020	Amir Erfan Eshratifar Massoud Pedram
+ PDF Chat	Deep-PowerX	2020	Ghasem Pasandi Mackenzie Peterson Moisés Torres Herrera Shahin Nazarian Massoud Pedram
+	SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning	2020	Mahdi Nazemi Amirhossein Esmaili Arash Fayyazi Massoud Pedram
+	HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC.	2020	Arash Fayyazi Amirhossein Esmaili Massoud Pedram
+ PDF Chat	NISQ+: Boosting quantum computing power by approximating quantum error correction	2020	Adam Holmes Mohammad Reza Jokar Ghasem Pasandi Yongshan Ding Massoud Pedram Frederic T. Chong
+	NISQ+: Boosting quantum computing power by approximating quantum error correction	2020	Adam Holmes Mohammad Reza Jokar Ghasem Pasandi Yongshan Ding Massoud Pedram Frederic T. Chong
+ PDF Chat	NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework	2020	Mohammad Saeed Abrishami Hao Ge Justin F. Calderon Massoud Pedram Shahin Nazarian
+ PDF Chat	Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning	2020	Amirhossein Esmaili Massoud Pedram
+ PDF Chat	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space	2020	Mohammad Saeed Abrishami Amir Erfan Eshratifar David Eigen Yanzhi Wang Shahin Nazarian Massoud Pedram
+	NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework	2020	Mohammad Saeed Abrishami Hao Ge Justin F. Calderon Massoud Pedram Shahin Nazarian
+	CSM-NN: Current Source Model Based Logic Circuit Simulation -- A Neural Network Approach	2020	Mohammad Saeed Abrishami Massoud Pedram Shahin Nazarian
+	qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit.	2020	Souvik Kundu Gourav Datta Peter A. Beerel Massoud Pedram
+	Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks	2020	Souvik Kundu Mahdi Nazemi Massoud Pedram K.M. Chugg Peter A. Beerel
+	Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference	2020	Amir Erfan Eshratifar Massoud Pedram
+ PDF Chat	Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks	2020	Souvik Kundu Mahdi Nazemi Massoud Pedram K.M. Chugg Peter Beeral
+	Logic Verification of Ultra-Deep Pipelined Beyond-CMOS Technologies	2020	Arash Fayyazi Shahin Nazarian Massoud Pedram
+	CSM-NN: Current Source Model Based Logic Circuit Simulation -- A Neural Network Approach	2020	Abrishami Mohammad Saeed Massoud Pedram Nazarian Shahin
+	A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs	2020	Souvik Kundu Mahdi Nazemi Peter A. Beerel Massoud Pedram
+	Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks	2020	Souvik Kundu Mahdi Nazemi Massoud Pedram K.M. Chugg Peter A. Beerel
+	SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning	2020	Mahdi Nazemi Amirhossein Esmaili Arash Fayyazi Massoud Pedram
+	HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC	2020	Arash Fayyazi Amirhossein Esmaili Massoud Pedram
+	NISQ+: Boosting quantum computing power by approximating quantum error correction	2020	Adam Holmes Mohammad Reza Jokar Ghasem Pasandi Yongshan Ding Massoud Pedram Frederic T. Chong
+	NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework	2020	Mohammad Saeed Abrishami Hao Ge Justin F. Calderon Massoud Pedram Shahin Nazarian
+	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space	2020	Mohammad Saeed Abrishami Amir Erfan Eshratifar David Eigen Yanzhi Wang Shahin Nazarian Massoud Pedram
+	qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit	2020	Souvik Kundu Gourav Datta Peter A. Beerel Massoud Pedram
+	Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference	2020	Amir Erfan Eshratifar Massoud Pedram
+	Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning	2019	Amirhossein Esmaili Massoud Pedram
+ PDF Chat	Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines	2019	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+ PDF Chat	CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach	2019	Mohammad Saeed Abrishami Massoud Pedram Shahin Nazarian
+ PDF Chat	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Mohammad Saeed Abrishami Massoud Pedram
+	Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification	2019	Amir Erfan Eshratifar David Eigen Michael Gormish Massoud Pedram
+ PDF Chat	A Meta-Learning Approach for Custom Model Training	2019	Amir Erfan Eshratifar Mohammad Saeed Abrishami David Eigen Massoud Pedram
+ PDF Chat	BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram
+ PDF Chat	qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit	2019	Souvik Kundu Gourav Datta Peter A. Beerel Massoud Pedram
+	Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework	2019	Ting-Ru Lin Drew Penney Massoud Pedram Lizhong Chen
+	Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines	2019	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+	VeriSFQ - A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology	2019	Alvin D. Wong Kevin Su Hang Sun Arash Fayyazi Massoud Pedram Shahin Nazarian
+ PDF Chat	Towards Collaborative Intelligence Friendly Architectures for Deep Learning	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram
+ PDF Chat	Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach	2019	Ghasem Pasandi Shahin Nazarian Massoud Pedram
+ PDF Chat	VeriSFQ: A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology	2019	Alvin D. Wong Kevin Su Hang Sun Arash Fayyazi Massoud Pedram Shahin Nazarian
+	BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram
+	Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays	2019	Ghasem Pasandi Raghav Mehta Massoud Pedram Shahin Nazarian
+	Towards Collaborative Intelligence Friendly Architectures for Deep Learning.	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram
+	Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach	2019	Ghasem Pasandi Shahin Nazarian Massoud Pedram
+ PDF Chat	Hybrid Cell Assignment and Sizing for Power, Area, Delay-Product Optimization of SRAM Arrays	2019	Ghasem Pasandi Raghav Mehta Massoud Pedram Shahin Nazarian
+ PDF Chat	Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline	2019	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+	SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits	2019	Ghasem Pasandi Alireza Shafaei Massoud Pedram
+	Space Expansion of Feature Selection for Designing more Accurate Error Predictors	2019	Shayan Tabatabaei Nikkhah Mehdi Kamal Ali Afzali‐Kusha Massoud Pedram
+	Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines	2019	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+	Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning	2019	Amirhossein Esmaili Massoud Pedram
+	Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification	2019	Amir Erfan Eshratifar David Eigen Michael Gormish Massoud Pedram
+	Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework	2019	Ting-Ru Lin Drew Penney Massoud Pedram Lizhong Chen
+	VeriSFQ - A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology	2019	Alvin D. Wong Kevin Su Hang Sun Arash Fayyazi Massoud Pedram Shahin Nazarian
+	Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays	2019	Ghasem Pasandi Raghav Mehta Massoud Pedram Shahin Nazarian
+	Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach	2019	Ghasem Pasandi Shahin Nazarian Massoud Pedram
+	Towards Collaborative Intelligence Friendly Architectures for Deep Learning	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram
+	SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits	2019	Ghasem Pasandi Alireza Shafaei Massoud Pedram
+	BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram
+	Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline	2018	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+	PBMap: A Path Balancing Technology Mapping Algorithm for Single Flux Quantum Logic Circuits	2018	Ghasem Pasandi Massoud Pedram
+	NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference.	2018	Mahdi Nazemi Ghasem Pasandi Massoud Pedram
+ PDF Chat	Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications	2018	Mahdi Nazemi Massoud Pedram
+	Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications	2018	Mahdi Nazemi Massoud Pedram
+ PDF Chat	SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits	2018	Ghasem Pasandi Alireza Shafaei Massoud Pedram
+ PDF Chat	VIBNN	2018	Ruizhe Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang
+ PDF Chat	FFT-based deep learning deployment in embedded systems	2018	Sheng Lin Ning Liu Mahdi Nazemi Hongjia Li Caiwen Ding Yanzhi Wang Massoud Pedram
+ PDF Chat	A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA	2018	Mahdi Nazemi Amir Erfan Eshratifar Massoud Pedram
+	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	2018	Amir Erfan Eshratifar Mohammad Saeed Abrishami Massoud Pedram
+	A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA	2018	Mahdi Nazemi Amir Erfan Eshratifar Massoud Pedram
+	SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application	2018	Arash Fayyazi Souvik Kundu Shahin Nazarian Peter A. Beerel Massoud Pedram
+	A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits	2018	Ghasem Pasandi Massoud Pedram
+	Gradient Agreement as an Optimization Objective for Meta-Learning	2018	Amir Erfan Eshratifar David Eigen Massoud Pedram
+	Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline	2018	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram
+	A Meta-Learning Approach for Custom Model Training	2018	Amir Erfan Eshratifar Mohammad Saeed Abrishami David Eigen Massoud Pedram
+	NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference	2018	Mahdi Nazemi Ghasem Pasandi Massoud Pedram
+	Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications	2018	Mahdi Nazemi Massoud Pedram
+	A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA	2018	Mahdi Nazemi Amir Erfan Eshratifar Massoud Pedram
+	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	2018	Amir Erfan Eshratifar Mohammad Saeed Abrishami Massoud Pedram
+	High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis	2017	Mahdi Nazemi Shahin Nazarian Massoud Pedram
+ PDF Chat	High-performance FPGA implementation of equivariant adaptive separation via independence algorithm for Independent Component Analysis	2017	Mahdi Nazemi Shahin Nazarian Massoud Pedram
+	FFT-Based Deep Learning Deployment in Embedded Systems	2017	Sheng Lin Ning Liu Mahdi Nazemi Hongjia Li Caiwen Ding Yanzhi Wang Massoud Pedram
+	High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis	2017	Mahdi Nazemi Shahin Nazarian Massoud Pedram
+ PDF Chat	Squash 2: a hierarchical scalable quantum mapper considering ancilla sharing	2016	Mohammad Javad Dousti Alireza Shafaei Massoud Pedram
+	Squash 2: A Hierarchical Scalable Quantum Mapper Considering Ancilla Sharing	2015	Mohammad Javad Dousti Alireza Shafaei Massoud Pedram
+	LEQA: Latency Estimation for a Quantum Algorithm Mapped to a Quantum Circuit Fabric	2015	Mohammad Javad Dousti Massoud Pedram
+	Squash 2: A Hierarchical Scalable Quantum Mapper Considering Ancilla Sharing	2015	Mohammad Javad Dousti Alireza Shafaei Massoud Pedram
+ PDF Chat	Squash	2014	Mohammad Javad Dousti Alireza Shafaei Massoud Pedram
+ PDF Chat	Design of a universal logic block for fault-tolerant realization of any logic operation in trapped-ion quantum circuits	2014	H. Goudarzi Mohammad Javad Dousti Alireza Shafaei Massoud Pedram
+	Minimizing the Latency of Quantum Circuits during Mapping to the Ion-Trap Circuit Fabric	2014	Mohammad Javad Dousti Massoud Pedram
+ PDF Chat	Reversible logic synthesis by quantum rotation gates	2013	Afshin Abdollahi Mehdi Saeedi Massoud Pedram
+ PDF Chat	Linear-depth quantum circuits for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>n</mml:mi></mml:math>-qubit Toffoli gates with no ancilla	2013	Mehdi Saeedi Massoud Pedram
+	Constant-Factor Optimization of Quantum Adders on 2D Quantum Architectures	2013	Mehdi Saeedi Alireza Shafaei Massoud Pedram
+	Reversible Logic Synthesis by Quantum Rotation Gates	2013	Afshin Abdollahi Mehdi Saeedi Massoud Pedram
+ PDF Chat	Constant-Factor Optimization of Quantum Adders on 2D Quantum Architectures	2013	Mehdi Saeedi Alireza Shafaei Massoud Pedram
+	Reversible Logic Synthesis by Quantum Rotation Gates	2013	Afshin Abdollahi Mehdi Saeedi Massoud Pedram
+	Constant-Factor Optimization of Quantum Adders on 2D Quantum Architectures	2013	Mehdi Saeedi Alireza Shafaei Massoud Pedram
+ PDF Chat	Minimizing the latency of quantum circuits during mapping to the ion-trap circuit fabric	2012	Mohammad Javad Dousti Massoud Pedram
+	HEBS: Histogram Equalization for Backlight Scaling	2007	Ali Iranli Hanif Fatemi Massoud Pedram
+ PDF Chat	Modeling and Propagation of Noisy Waveforms in Static Timing Analysis	2005	Shahin Nazarian Massoud Pedram E. Tuncer Tao Lin Amir H. Ajami
+ PDF Chat	HEBS: Histogram Equalization for Backlight Scaling	2005	Ali Iranli Hanif Fatemi Massoud Pedram
+	Balanced truncation with spectral shaping for RLC interconnects	2002	Payam Heydari Massoud Pedram
+	Model reduction of variable-geometry interconnects using variational spectrally-weighted balanced truncation	2001	Payam Heydari Massoud Pedram

Common Coauthors

Coauthor	Papers Together
Mahdi Nazemi	39
Arash Fayyazi	27
Amirhossein Esmaili	26
Amir Erfan Eshratifar	23
Shahin Nazarian	23
Ghasem Pasandi	19
Mehdi Kamal	16
Peter A. Beerel	14
Sasan Razmkhah	13
Mohammad Saeed Abrishami	12
Alireza Shafaei	11
Souvik Kundu	10
Mustafa Altay Karamuftuoglu	9
Mohammad Javad Dousti	8
David Eigen	8
Beyza Zeynep Ucpinar	7
Frederic T. Chong	7
Mehdi Saeedi	7
Seyedarmin Azizi	6
Souvik Kundu	6
Yanzhi Wang	6
Mohammad Reza Jokar	5
Adam Holmes	5
Soheil Nazar Shahsavani	5
Gourav Datta	4
Haolin Cong	4
Ali Afzali‐Kusha	4
Caiwen Ding	3
Atharva Khare	3
Alvin D. Wong	3
Raghav Mehta	3
Hao Ge	3
Mohammad Erfan Sadeghi	3
Ning Liu	3
Yongshan Ding	3
Justin F. Calderon	3
Afshin Abdollahi	3
Jung Hwan Heo	3
K.M. Chugg	3
Michael Gormish	3
Negar Neda	2
Ali Iranli	2
Jingkai Hong	2
Naifeng Zhang	2
Ting-Ru Lin	2
Payam Heydari	2
Richard Rines	2
Yunong Shi	2
Gokul Subramanian Ravi	2
Ahmad Al Badawi	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	24
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	12
+ PDF Chat	SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits	2018	Ghasem Pasandi Alireza Shafaei Massoud Pedram	8
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	8
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	8
+	PBMap: A Path Balancing Technology Mapping Algorithm for Single Flux Quantum Logic Circuits	2018	Ghasem Pasandi Massoud Pedram	7
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	7
+ PDF Chat	Efficient Processing of Deep Neural Networks: A Tutorial and Survey	2017	Vivienne Sze Yu‐Hsin Chen Tien-Ju Yang Joel Emer	7
+ PDF Chat	Elementary gates for quantum computation	1995	Adriano Barenco Charles H. Bennett Richard Cleve David P. DiVincenzo Norman Margolus Peter W. Shor Tycho Sleator John A. Smolin Harald Weinfurter	6
+ PDF Chat	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers	2018	Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen Makan Fardad Yanzhi Wang	6
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	6
+ PDF Chat	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Mohammad Saeed Abrishami Massoud Pedram	6
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	6
+ PDF Chat	YOLO9000: Better, Faster, Stronger	2017	Joseph Redmon Ali Farhadi	5
+	Sparse Networks from Scratch: Faster Training without Losing Performance	2019	Tim Dettmers Luke Zettlemoyer	5
+ PDF Chat	Towards Collaborative Intelligence Friendly Architectures for Deep Learning	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram	5
+ PDF Chat	Deep Feature Compression for Collaborative Object Detection	2018	Hyomin Choi Ivan V. Bajić	5
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	5
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	5
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	4
+	Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing	2018	Zhuo Chen Weisi Lin Shiqi Wang Ling‐Yu Duan Alex C. Kot	4
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	4
+ PDF Chat	FFT-based deep learning deployment in embedded systems	2018	Sheng Lin Ning Liu Mahdi Nazemi Hongjia Li Caiwen Ding Yanzhi Wang Massoud Pedram	4
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	4
+	High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis	2017	Mahdi Nazemi Shahin Nazarian Massoud Pedram	4
+ PDF Chat	Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline	2019	Amirhossein Esmaili Mahdi Nazemi Massoud Pedram	4
+	PACT: Parameterized Clipping Activation for Quantized Neural Networks	2018	Jungwook Choi Zhuo Wang Swagath Venkataramani Pierce Chuang Vijayalakshmi Srinivasan Kailash Gopalakrishnan	4
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	4
+ PDF Chat	Accelerating Deep Convolutional Networks using low-precision and sparsity	2017	Ganesh Venkatesh Eriko Nurvitadhi Debbie Marr	4
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	4
+ PDF Chat	Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning	2017	Tien-Ju Yang Yu‐Hsin Chen Vivienne Sze	4
+ PDF Chat	Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks	2020	Souvik Kundu Mahdi Nazemi Massoud Pedram K.M. Chugg Peter Beeral	4
+	Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights	2017	Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen	4
+ PDF Chat	BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services	2019	Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram	4
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	4
+ PDF Chat	Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices	2017	Surat Teerapittayanon Bradley McDanel H. T. Kung	4
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	4
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	4
+ PDF Chat	Synthesis of quantum-logic circuits	2006	Vivek Shende Stephen S. Bullock Igor L. Markov	4
+ PDF Chat	Faster quantum number factoring via circuit synthesis	2013	Igor L. Markov Mehdi Saeedi	4
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	4
+ PDF Chat	Synthesis and optimization of reversible circuits—a survey	2013	Mehdi Saeedi Igor L. Markov	4
+	Rethinking the Value of Network Pruning	2018	Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell	4
+	Constant-optimized quantum circuits for modular multiplication and exponentiation	2012	Igor L. Markov Mehdi Saeedi	3
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	3
+ PDF Chat	Low-distance surface codes under realistic quantum noise	2014	Yu Tomita Krysta M. Svore	3
+ PDF Chat	Approximate quantum Fourier transform and decoherence	1996	Adriano Barenco Artur Ekert Kalle‐Antti Suominen Päivi Törmä	3
+ PDF Chat	Reversible circuit synthesis using a cycle-based approach	2010	Mehdi Saeedi Morteza Saheb Zamani Mehdi Sedighi Zahra Sasanian	3
+	A new quantum ripple-carry addition circuit	2004	Steven A. Cuccaro Thomas G. Draper Samuel Kutin David Petrie Moulton	3
+	Hardware-oriented Approximation of Convolutional Neural Networks	2016	Philipp Gysel Mohammad Motamedi Soheil Ghiasi	3