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2020 – today
- 2024
[j16]Nastaran Darabi
, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 991-1003 (2024)- [c38]Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi:
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. DATE 2024: 1-6 - [c37]Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi:
Conformalized Multimodal Uncertainty Regression and Reasoning. ICASSP 2024: 6985-6989 - [c36]Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. ICRA 2024: 2029-2035 - [c35]Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. IJCNN 2024: 1-8 - [c34]Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Amit Ranjan Trivedi:
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. VLSID 2024: 180-185 - [i23]Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi:
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR abs/2401.17481 (2024) - [i22]Alex Christopher Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi:
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning. CoRR abs/2402.07107 (2024) - [i21]Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi:
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. CoRR abs/2406.07833 (2024) - [i20]Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi:
TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. CoRR abs/2409.00495 (2024) - [i19]Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi:
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach. CoRR abs/2409.12379 (2024) - 2023
- [j15]Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 70(2): 884-896 (2023) - [c33]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. AICAS 2023: 1-5 - [c32]Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. ICASSP 2023: 1-5 - [c31]Krishnendu Guha, Amit Ranjan Trivedi, Swarup Bhunia:
Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. IJCNN 2023: 1-7 - [c30]Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi:
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. IROS 2023: 7742-7749 - [c29]Benjamin Parpillon, Amit Ranjan Trivedi, Farah Fahim:
Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider. ISCAS 2023: 1-5 - [c28]Nastaran Darabi, Maeesha Binte Hashem, Supriyo Bandyopadhyay, Amit Ranjan Trivedi:
Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED 2023: 1 - [c27]Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi:
Unifying Intrinsically-Operated Physically Unclonable Function and Random Number Generation in Analog Circuits: A Case Study on Successive Approximation ADC. VLSID 2023: 75-80 - [i18]Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Çamsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto:
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i17]Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi:
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. CoRR abs/2303.02207 (2023) - [i16]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. CoRR abs/2307.03863 (2023) - [i15]Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Swarup Bhunia, Amit Ranjan Trivedi:
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. CoRR abs/2307.07631 (2023) - [i14]Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR abs/2309.01771 (2023) - [i13]Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. CoRR abs/2309.09593 (2023) - [i12]Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. CoRR abs/2309.11006 (2023) - [i11]Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi:
Conformalized Multimodal Uncertainty Regression and Reasoning. CoRR abs/2309.11018 (2023) - [i10]Nastaran Darabi, Amit Ranjan Trivedi:
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks. CoRR abs/2309.11048 (2023) - 2022
- [j14]Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access 10: 81447-81457 (2022) - [j13]Shubhra Deb Paul, Fengchao Zhang, Patanjali SLPSK, Amit Ranjan Trivedi, Swarup Bhunia:
RIHANN: Remote IoT Hardware Authentication With Intrinsic Identifiers. IEEE Internet Things J. 9(24): 24615-24627 (2022) - [j12]Dinesh Rajasekharan, Amol D. Gaidhane, Amit Ranjan Trivedi, Yogesh Singh Chauhan:
Ferroelectric FET-Based Implementation of FitzHugh-Nagumo Neuron Model. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(7): 2107-2114 (2022) - [j11]Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi:
Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. IEEE Trans. Very Large Scale Integr. Syst. 30(1): 68-80 (2022) - [c26]Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi:
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. AICAS 2022: 9-12 - [c25]Maeesha Binte Hashem, Nastaran Darabi, Supriyo Bandyopadhyay, Amit Ranjan Trivedi:
Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 2022: 1-2 - [c24]Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi:
Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. ISCAS 2022: 1457-1461 - [i9]Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. CoRR abs/2210.15559 (2022) - 2021
- [j10]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1966-1978 (2021) - [j9]Fengchao Zhang, Shubhra Deb Paul, Patanjali SLPSK, Amit Ranjan Trivedi, Swarup Bhunia:
On Database-Free Authentication of Microelectronic Components. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 149-161 (2021) - [c23]Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi:
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE 2021: 890-895 - [i8]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. CoRR abs/2102.00035 (2021) - [i7]Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. CoRR abs/2104.05217 (2021) - [i6]Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence. CoRR abs/2111.07125 (2021) - 2020
- [j8]Bogil Kim, Sungjae Lee, Amit Ranjan Trivedi, William J. Song:
Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices. IEEE Access 8: 216259-216270 (2020) - [j7]Nick Iliev, Alberto Gianelli, Amit Ranjan Trivedi:
Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring. IEEE Embed. Syst. Lett. 12(1): 9-12 (2020) - [j6]Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi:
Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. IEEE Trans. Very Large Scale Integr. Syst. 28(8): 1833-1843 (2020) - [c22]Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. ISCAS 2020: 1-5 - [c21]Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi:
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS 2020: 1-5 - [c20]Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi:
Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. ISQED 2020: 219-224 - [c19]Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi:
Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. VLSID 2020: 19-24 - [i5]Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi:
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. CoRR abs/2003.02629 (2020) - [i4]Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi:
Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. CoRR abs/2003.10088 (2020) - [i3]Nick Iliev, Amit Ranjan Trivedi:
Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks. CoRR abs/2011.12839 (2020)
2010 – 2019
- 2019
- [j5]Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi:
An Intrinsic and Database-Free Authentication by Exploiting Process Variation in Back-End Capacitors. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1253-1261 (2019) - [c18]Alberto Gianelli, Nick Iliev, Shamma Nasrin, Mariagrazia Graziano, Amit Ranjan Trivedi:
Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS. COOL CHIPS 2019: 1-3 - [c17]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. EMC2@NeurIPS 2019: 40-43 - [c16]Dinesh Rajasekharan, Amit Ranjan Trivedi, Yogesh Singh Chauhan:
Neuromorphic Circuits on FDSOI Technology for Computer Vision Applications. VLSID 2019: 504-505 - [c15]Shih-Chang Hung, Nick Iliev, Balajee Vamanan, Amit Ranjan Trivedi:
Self-Organizing Maps-Based Flexible and High-Speed Packet Classification in Software Defined Networking. VLSID 2019: 545-546 - [i2]Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. CoRR abs/1911.08518 (2019) - 2018
- [c14]Amit Ranjan Trivedi, Ahish Shylendra:
Ultralow power acoustic feature-scoring using gaussian I-V transistors. DAC 2018: 77:1-77:6 - [c13]Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi:
Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances. ISLPED 2018: 44:1-44:6 - 2017
- [c12]Nick Iliev, Amit Ranjan Trivedi:
Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network. ICCD 2017: 297-300 - [c11]Tonmoy Dhar, Swarup Bhunia, Amit Ranjan Trivedi:
A solitary protection measure against scan chain, fault injection, and power analysis attacks on AES. MWSCAS 2017: 575-578 - [c10]Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung, Taesik Na, Amit Ranjan Trivedi, Saibal Mukhopadhyay:
Energy-efficient neural image processing for Internet-of-Things edge devices. MWSCAS 2017: 1069-1072 - 2016
- [j4]Mohammad Faisal Amir, Amit Ranjan Trivedi, Saibal Mukhopadhyay:
Exploration of Si/Ge Tunnel FET Bit Cells for Ultra-low Power Embedded Memory. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 185-197 (2016) - [j3]Denny Lie, Amit Ranjan Trivedi, Saibal Mukhopadhyay:
Impact of Heterogeneous Technology Integration on the Power, Performance, and Quality of a 3D Image Sensor. IEEE Trans. Multi Scale Comput. Syst. 2(1): 61-67 (2016) - [c9]Susmita Dey Manasi, Amit Ranjan Trivedi:
Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification. IJCNN 2016: 955-962 - [c8]Amit Ranjan Trivedi, Susmita Dey Manasi:
A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network. ISVLSI 2016: 685-690 - [i1]Susmita Dey Manasi, Md Mamun Al Rashid, Jayasimha Atulasimha, Supriyo Bandyopadhyay, Amit Ranjan Trivedi:
Straintronic magneto-tunneling-junction based ternary content addressable memory. CoRR abs/1610.03902 (2016) - 2015
- [c7]Sravan K. Marella, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Sachin S. Sapatnekar:
Optimization of FinFET-based circuits using a dual gate pitch technique. ICCAD 2015: 758-763 - 2014
- [j2]Amit Ranjan Trivedi, Wen Yueh, Saibal Mukhopadhyay:
In Situ Power Gating Efficiency Learner for Fine-Grained Self-Adaptive Power Gating. IEEE Trans. Circuits Syst. II Express Briefs 61-II(5): 344-348 (2014) - [c6]Amit Ranjan Trivedi, Mohammad Faisal Amir, Saibal Mukhopadhyay:
Ultra-low power electronics with Si/Ge tunnel FET. DATE 2014: 1-6 - 2013
- [c5]Amit Ranjan Trivedi, Abhash Kumar Singh, Sundara Tejaswi Digumarti, Deepak Fulwani, Swagat Kumar:
Design and Implementation of a Smart Wheelchair. AIR 2013: 96:1-96:6 - [c4]Amit Ranjan Trivedi, Sergio Carlo, Saibal Mukhopadhyay:
Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier. DAC 2013: 109:1-109:6 - 2012
- [c3]Amit Ranjan Trivedi, Saibal Mukhopadhyay:
Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. VTS 2012: 38-43 - [c2]Wen Yueh, Subho Chatterjee, Amit Ranjan Trivedi, Saibal Mukhopadhyay:
On the parametric failures of SRAM in a 3D-die stack considering tier-to-tier supply cross-talk. VTS 2012: 264-269 - 2010
- [c1]Shyam Parthasarathy, Amit Ranjan Trivedi, Saurabh Sirohi, Robert A. Groves, Michael Olsen, Yogesh Singh Chauhan, Michael Carroll, Dan Kerr, Ali Tombak, Phil Mason:
RF SOI Switch FET Design and Modeling Tradeoffs for GSM Applications. VLSI Design 2010: 194-199
2000 – 2009
- 2007
- [j1]Amit Ranjan Trivedi, Supriyo Bandyopadhyay, Marc Cahay:
Switching voltage, dynamic power dissipation and on-to-off conductance ratio of a spin field effect transistor. IET Circuits Devices Syst. 1(6): 395-400 (2007)
Coauthor Index
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