Shantanu Chakrabartty

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All published works

Action	Title	Year	Authors
+ PDF Chat	KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs	2024	Ankita Nandi Krishil Gandhi Mahendra Pratap Singh Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	3D E-textile for Exercise Physiology and Clinical Maternal Health Monitoring.	2024	Junyi Zhao Chansoo Kim Weilun Li Zichao Wen Zhili Xiao Yong Wang Shantanu Chakrabartty Chuan Wang
+ PDF Chat	ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers	2024	Zhihao Chen Zhi‐Li Xiao Mahmoud Akl Johannes Leugring Omowuyi Olajide Adil Malik Nik Dennler Chad Harper Subhankar Bose Hector A. Gonzalez
+ PDF Chat	Energy-efficiency Limits on Training AI Systems using Learning-in-Memory	2024	Zhihao Chen Johannes Leugering Gert Cauwenberghs Shantanu Chakrabartty
+ PDF Chat	Margin Propagation based XOR-SAT Solvers for Decoding of LDPC Codes	2024	Ankita Nandi Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	Multiplierless In-filter Computing for tinyML Platforms	2024	Abhishek Ramdas Nair Pallab Kumar Nath Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	On-device synaptic memory consolidation using Fowler-Nordheim quantum-tunneling	2023	Mustafizur Rahman Subhankar Bose Shantanu Chakrabartty
+ PDF Chat	Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning	2023	Pratik Kumar Ankita Nandi Shantanu Chakrabartty Chetan Singh Thakur
+	A Framework for Analyzing Cross-correlators using Price's Theorem and Piecewise-Linear Decomposition	2023	Zhili Xiao Shantanu Chakrabartty
+	Multiplierless In-filter Computing for tinyML Platforms	2023	Abhishek Ramdas Nair Pallab Kumar Nath Shantanu Chakrabartty Chetan Singh Thakur
+	Neuromorphic Computing with AER using Time-to-Event-Margin Propagation	2023	Madhuvanthi Srivatsav R Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning	2022	Pratik Kumar Ankita Nandi Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	Multiplierless MP-Kernel Machine for Energy-Efficient Edge Devices	2022	Abhishek Ramdas Nair Pallab Kumar Nath Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	An adaptive synaptic array using Fowler–Nordheim dynamic analog memory	2022	Darshit Mehta Mustafizur Rahman Kenji Aono Shantanu Chakrabartty
+	SPoTKD: A Protocol for Symmetric Key Distribution Over Public Channels Using Self-Powered Timekeeping Devices	2022	Mustafizur Rahman Liang Zhou Shantanu Chakrabartty
+	A Dynamical Systems Framework for Generating the Riemann Zeta Function and Dirichlet L-functions	2022	Shantanu Chakrabartty
+	On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling	2022	Mustafizur Rahman Subhankar Bose Shantanu Chakrabartty
+	Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning	2022	Pratik Kumar Ankita Nandi Shantanu Chakrabartty Chetan Singh Thakur
+ PDF Chat	In-Filter Computing for Designing Ultralight Acoustic Pattern Recognizers	2021	Abhishek Ramdas Nair Shantanu Chakrabartty Chetan Singh Thakur
+	Using growth transform dynamical systems for spatio-temporal data sonification.	2021	Oindrila Chatterjee Shantanu Chakrabartty
+	Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices	2021	Abhishek Ramdas Nair Pallab Kumar Nath Shantanu Chakrabartty Chetan Singh Thakur
+	Using growth transform dynamical systems for spatio-temporal data sonification	2021	Oindrila Chatterjee Shantanu Chakrabartty
+	SPoTKD: A Protocol for Symmetric Key Distribution over Public Channels Using Self-Powered Timekeeping Devices	2021	Mustafizur Rahman Liang Zhou Shantanu Chakrabartty
+ PDF Chat	A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems	2020	Darshit Mehta Kenji Aono Shantanu Chakrabartty
+	Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems	2020	Oindrila Chatterjee Shantanu Chakrabartty
+	Multiplierless and Sparse Machine Learning based on Margin Propagation Networks.	2019	P. M. Nazreen Shantanu Chakrabartty Chetan Singh Thakur
+	Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems	2019	Oindrila Chatterjee Shantanu Chakrabartty
+ PDF Chat	Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines	2019	Pratik Kumar Abhishek Ramdas Nair Oindrila Chatterjee Tathagata Paul Arindam Ghosh Shantanu Chakrabartty Chetan Singh Thakur
+	Multiplierless and Sparse Machine Learning based on Margin Propagation Networks	2019	P. M. Nazreen Shantanu Chakrabartty Chetan Singh Thakur
+	Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems	2019	Oindrila Chatterjee Shantanu Chakrabartty
+ PDF Chat	Energy-Dissipation Limits in Variance-Based Computing	2018	Sri Harsha Kondapalli Xuan Zhang Shantanu Chakrabartty
+	A Unified Perspective of Evolutionary Game Dynamics Using Generalized Growth Transforms	2018	Oindrila Chatterjee Shantanu Chakrabartty
+	Energy-dissipation Limits in Variance-based Computing	2017	Sri Harsha Kondapalli Xuan Zhang Shantanu Chakrabartty
+	Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines	2017	Ahana Gangopadhyay Oindrila Chatterjee Shantanu Chakrabartty
+	Global Optimization based on Growth Transform Dynamical Model	2017	Oindrila Chatterjee Shantanu Chakrabartty
+	A Fowler-Nordheim Integrator can Track the Density of Prime Numbers	2017	Liang Zhou Sri Harsha Kondapalli Shantanu Chakrabartty
+	Energy-dissipation Limits in Variance-based Computing	2017	Sri Harsha Kondapalli Xuan Zhang Shantanu Chakrabartty

Common Coauthors

Coauthor	Papers Together
Chetan Singh Thakur	14
Oindrila Chatterjee	9
Abhishek Ramdas Nair	6
Pratik Kumar	4
Pallab Kumar Nath	4
Sri Harsha Kondapalli	4
Subhankar Bose	3
Xuan Zhang	3
Mustafizur Rahman	3
Zhili Xiao	2
Darshit Mehta	2
Kenji Aono	2
Gert Cauwenberghs	2
Ankita Nandi	2
P. M. Nazreen	2
Liang Zhou	2
Zhihao Chen	2
Ankita Nandi	2
Hector A. Gonzalez	1
Jason K. Eshraghian	1
Madhuvanthi Srivatsav R	1
Johannes Leugring	1
Chuan Wang	1
Mustafizur Rahman	1
Chansoo Kim	1
Zhi‐Li Xiao	1
Adil Malik	1
Mustafizur Rahman	1
Sadasivan Shankar	1
Yong Wang	1
Nik Dennler	1
Ankita Nandi	1
Junyi Zhao	1
Krishil Gandhi	1
Omowuyi Olajide	1
Gianvito Urgese	1
Zichao Wen	1
Riccardo Pignari	1
Arindam Ghosh	1
Ahana Gangopadhyay	1
Liang Zhou	1
Mahendra Pratap Singh	1
Andreas G. Andreou	1
Mahmoud Akl	1
Johannes Leugering	1
Weilun Li	1
Tathagata Paul	1
Christian Mayr	1
Chad Harper	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Growth transformations for functions on manifolds	1968	Leonard E. Baum George R. Sell	5
+ PDF Chat	Multiplierless MP-Kernel Machine for Energy-Efficient Edge Devices	2022	Abhishek Ramdas Nair Pallab Kumar Nath Shantanu Chakrabartty Chetan Singh Thakur	3
+	Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines	2017	Ahana Gangopadhyay Oindrila Chatterjee Shantanu Chakrabartty	3
+ PDF Chat	Deep Quaternion Networks	2018	Chase J. Gaudet Anthony S. Maida	2
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+	Deep Structured Energy Based Models for Anomaly Detection	2016	Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang	2
+	On Complex Valued Convolutional Neural Networks	2016	Nitzan Guberman	2
+ PDF Chat	In-Filter Computing for Designing Ultralight Acoustic Pattern Recognizers	2021	Abhishek Ramdas Nair Shantanu Chakrabartty Chetan Singh Thakur	2
+ PDF Chat	A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems	2020	Darshit Mehta Kenji Aono Shantanu Chakrabartty	2
+ PDF Chat	Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines	2019	Pratik Kumar Abhishek Ramdas Nair Oindrila Chatterjee Tathagata Paul Arindam Ghosh Shantanu Chakrabartty Chetan Singh Thakur	2
+	A Survey on Methods and Theories of Quantized Neural Networks	2018	Yunhui Guo	2
+ PDF Chat	Complex Support Vector Machines for Regression and Quaternary Classification	2014	Pantelis Bouboulis Sergios Theodoridis Charalampos Mavroforakis Leoni Evaggelatou-Dalla	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+ PDF Chat	Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation	2017	Benjamin Scellier Yoshua Bengio	2
+ PDF Chat	Neuromorphic computing with nanoscale spintronic oscillators	2017	Jacob Torrejón Mathieu Riou Flavio Abreu Araujo Sumito Tsunegi Guru Khalsa Damien Querlioz Paolo Bortolotti Vincent Cros Kay Yakushiji Akio Fukushima	2
+	Deep Complex Networks	2017	Chiheb Trabelsi Olexa Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian João Felipe Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio Christopher Pal	2
+	Using quantum key distribution for cryptographic purposes: A survey	2014	Romain Alléaume Cyril Branciard Jan Bouda Thierry Debuisschert Mehrdad Dianati Nicolas Gisin M. S. Godfrey Philippe Grangier Thomas Länger Norbert Lütkenhaus	1
+ PDF Chat	Open Circular Billiards and the Riemann Hypothesis	2005	Leonid Bunimovich Carl P. Dettmann	1
+ PDF Chat	<i>Colloquium</i>: Physics of the Riemann hypothesis	2011	Dániel Schumayer D. A. W. Hutchinson	1
+	The Riemann Zeros and Eigenvalue Asymptotics	1999	Michael Berry Jonathan P. Keating	1
+ PDF Chat	Entanglement-based quantum communication over 144 km	2007	Rupert Ursin F. Tiefenbacher T. Schmitt-Manderbach H. Weier T. Scheidl M. Lindenthal B. Blauensteiner Thomas Jennewein J. Perdigués Pavel Trojek	1
+	A Newton-Raphson method for the solution of systems of equations	1966	Adi Ben-Israel	1
+ PDF Chat	Sign and other aspects of semiclassical Casimir energies	2006	Martin Schaden	1
+	Zur formalen Theorie der Funktionen von mehr komplexen Ver�nderlichen	1927	W. Wirtinger	1
+	Gigahertz decoy quantum key distribution with 1 Mbit/s secure key rate	2008	A. R. Dixon Zhiliang Yuan J. F. Dynes A. W. Sharpe A. J. Shields	1
+ PDF Chat	Efficient Machine Learning for Big Data: A Review	2015	Omar Y. Al-Jarrah Paul D. Yoo Sami Muhaidat George K. Karagiannidis Kamal Taha	1
+ PDF Chat	Chaotic simulated annealing by a neural network model with transient chaos	1995	Luonan Chen Kazuyuki Aihara	1
+ PDF Chat	An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology	1967	Leonard E. Baum J. A. Eagon	1
+ PDF Chat	Thermal noise driven computing	2006	László B. Kish	1
+	A Review of Quasi-Convex Functions	1971	Harvey J. Greenberg William P. Pierskalla	1
+	On the Hamiltonian whose spectrum coincides with the set of primes	2007	S. K. Sekatskiǐ	1
+ PDF Chat	Riemann hypothesis and quantum mechanics	2011	Michel Planat Patrick Solé Sami Omar	1
+ PDF Chat	FPGA implementation of the CAR Model of the cochlea	2014	Chetan Singh Thakur Tara Julia Hamilton Jonathan Tapson André van Schaik Richard F. Lyon	1
+ PDF Chat	Provably secure and practical quantum key distribution over 307 km of optical fibre	2015	Boris Korzh Charles Ci Wen Lim Raphaël Houlmann Nicolas Gisin Mingjun Li Daniel A. Nolan Bruno Sanguinetti Rob Thew Hugo Zbinden	1
+ PDF Chat	Nuclei, Primes and the Random Matrix Connection	2009	F.W.K. Firk Steven J. Miller	1
+	Sequential Quadratic Programming	1995	Paul T. Boggs Jon W. Tolle	1
+ PDF Chat	Robust Estimation of a Location Parameter	1964	Peter J. Huber	1
+	Effect of data standardization on neural network training	1996	Murali Shanker Michael Y. Hu Ming S. Hung	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+ PDF Chat	Convex and Semi-Nonnegative Matrix Factorizations	2008	Chris Ding Tao Li Michael I. Jordan	1
+	Neural Networks with Few Multiplications	2015	Zhouhan Lin Matthieu Courbariaux Roland Memisevic Yoshua Bengio	1
+ PDF Chat	A Mathematical Motivation for Complex-Valued Convolutional Networks	2016	Mark Tygert Joan Bruna Soumith Chintala Yann LeCun Serkan Piantino Arthur Szlam	1
+	Chains of Large Gaps Between Primes	2018	Kevin Ford James Maynard Terence Tao	1
+ PDF Chat	Trace formula in noncommutative geometry and the zeros of the Riemann zeta function	1999	Alain Connes	1
+ PDF Chat	Unexpected biases in the distribution of consecutive primes	2016	Robert J. Lemke Oliver K. Soundararajan	1
+	Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines	2002	Fei Sha Lawrence K. Saul Daniel D. Lee	1
+	Deep Structured Energy Based Models for Anomaly Detection	2016	Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang	1
+	Characterizing quantum supremacy in near-term devices	2018	Sergio Boixo Sergei V. Isakov Vadim Smelyanskiy Ryan Babbush Nan Ding Jiang Zhang Michael J. Bremner John M. Martinis Hartmut Neven	1
+ PDF Chat	Hamiltonian for the Zeros of the Riemann Zeta Function	2017	Carl M. Bender Dorje C. Brody Markus P. Müller	1
+ PDF Chat	Convex programming in Hilbert space	1964	A. A. Goldstein	1