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Albert Gural
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 8
Top Topics
Efficient Learning
Neural Network
Uniform Quantization
Lookup Table
Top Venues
CoRR
IEEE Trans. Circuits Syst. I Regul. Pap.
ICML
ACSSC
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Publications
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Kartik Prabhu
,
Albert Gural
,
Zainab F. Khan
,
Robert M. Radway
,
Massimo Giordano
,
Kalhan Koul
,
Rohan Doshi
,
John W. Kustin
,
Timothy Liu
,
Gregorio B. Lopes
,
Victor Turbiner
,
Win-San Khwa
,
Yu-Der Chih
,
Meng-Fan Chang
,
Guénolé Lallement
,
Boris Murmann
,
Subhasish Mitra
,
Priyanka Raina
CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference.
IEEE J. Solid State Circuits
57 (4) (2022)
Angad S. Rekhi
,
Ernest So
,
Albert Gural
,
Amin Arbabian
CRADLE: Combined RF/Acoustic Detection and Localization of Passive Tags.
IEEE Trans. Circuits Syst. I Regul. Pap.
68 (6) (2021)
Massimo Giordano
,
Kartik Prabhu
,
Kalhan Koul
,
Robert Radway
,
Albert Gural
,
Rohan Doshi
,
Zainab F. Khan
,
John W. Kustin
,
Timothy Liu
,
Gregorio B. Lopes
,
Victor Turbiner
,
Win-San Khwa
,
Yu-Der Chih
,
Meng-Fan Chang
,
Guénolé Lallement
,
Boris Murmann
,
Subhasish Mitra
,
Priyanka Raina
CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference.
VLSI Circuits
(2021)
Albert Gural
,
Phillip Nadeau
,
Mehul Tikekar
,
Boris Murmann
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology.
CoRR
(2020)
Sambhav R. Jain
,
Albert Gural
,
Michael Wu
,
Chris Dick
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks.
MLSys
(2020)
Albert Gural
,
Boris Murmann
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications.
ICML
(2019)
Daniel Bankman
,
J. Messner
,
Albert Gural
,
Boris Murmann
RRAM-Based In-Memory Computing for Embedded Deep Neural Networks.
ACSSC
(2019)
Sambhav R. Jain
,
Albert Gural
,
Michael Wu
,
Chris Dick
Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware.
CoRR
(2019)