Amit Ranjan Trivedi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 66

Top Topics

Markov Chain Monte Carlo Sampling

Unsupervised Anomaly Detection

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Amit Ranjan Trivedi
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. VLSID (2024)
Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
Conformalized Multimodal Uncertainty Regression and Reasoning. ICASSP (2024)
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)
Alex Christopher Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning. CoRR (2024)
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 (2024)
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) (2024)
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)
Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. CoRR (2024)
Nastaran Darabi, Maeesha Binte Hashem, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED (2023)
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)
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 (2023)
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)
Nastaran Darabi, Amit Ranjan Trivedi
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks. CoRR (2023)
Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Cetin, Wilfred Gomes, Amit Ranjan Trivedi
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR (2023)
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 Camsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme Temporão, Kremena Makasheva, Aida Tordi-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Evershor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto
Roadmap for Unconventional Computing with Nanotechnology. CoRR (2023)
Krishnendu Guha, Amit Ranjan Trivedi, Swarup Bhunia
Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. IJCNN (2023)
Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. CoRR (2023)
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) (2023)
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 (2023)
Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
Conformalized Multimodal Uncertainty Regression and Reasoning. CoRR (2023)
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)
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 (2023)
Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. IROS (2023)
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 (2023)
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)
Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. AICAS (2022)
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) (2022)
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) (2022)
Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi
Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. ISCAS (2022)
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 (2022)
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) (2022)
Maeesha Binte Hashem, Nastaran Darabi, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 (2022)
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 (2022)
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 (2021)
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 (2021)
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) (2021)
Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE (2021)
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) (2021)
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 (2021)
Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi
Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays. CoRR (2021)
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) (2020)
Nick Iliev, Amit Ranjan Trivedi
Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks. CoRR (2020)
Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. CoRR (2020)
Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS (2020)
Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. ISQED (2020)
Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi
Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. VLSI Design (2020)
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)
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) (2020)
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 (2020)
Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. CoRR (2020)
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)
Shih-Chang Hung, Nick Iliev, Balajee Vamanan, Amit Ranjan Trivedi
Self-Organizing Maps-Based Flexible and High-Speed Packet Classification in Software Defined Networking. VLSI Design (2019)
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 (2019)
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) (2019)
Dinesh Rajasekharan, Amit Ranjan Trivedi, Yogesh Singh Chauhan
Neuromorphic Circuits on FDSOI Technology for Computer Vision Applications. VLSI Design (2019)
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)
Amit Ranjan Trivedi, Ahish Shylendra
Ultralow power acoustic feature-scoring using gaussian I-V transistors. DAC (2018)
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)
Tonmoy Dhar, Swarup Bhunia, Amit Ranjan Trivedi
A solitary protection measure against scan chain, fault injection, and power analysis attacks on AES. MWSCAS (2017)
Nick Iliev, Amit Ranjan Trivedi
Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network. ICCD (2017)
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)
Susmita Dey Manasi, M. M. Al Rashid, J. Atulasimha, S. K. Bandyopadhyay, Amit Ranjan Trivedi
Straintronic magneto-tunneling-junction based ternary content addressable memory. CoRR (2016)
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) (2016)
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) (2016)
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)
Amit Ranjan Trivedi, Susmita Dey Manasi
A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network. ISVLSI (2016)
Sravan K. Marella, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Sachin S. Sapatnekar
Optimization of FinFET-based circuits using a dual gate pitch technique. ICCAD (2015)
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 (5) (2014)
Amit Ranjan Trivedi, Mohammad Faisal Amir, Saibal Mukhopadhyay
Ultra-low power electronics with Si/Ge tunnel FET. DATE (2014)
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)
Amit Ranjan Trivedi, Abhash Kumar Singh, Sundara Tejaswi Digumarti, Deepak Fulwani, Swagat Kumar
Design and Implementation of a Smart Wheelchair. AIR (2013)
Amit Ranjan Trivedi, Saibal Mukhopadhyay
Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. VTS (2012)
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)
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)
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) (2007)