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Amit Ranjan Trivedi
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2020 – today
- 2024
- [j16]Nastaran Darabi
, Maeesha Binte Hashem, Hongyi Pan
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 991-1003 (2024) - [c39]Alex Christopher Stutts
Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. DAC 2024: 363:1-363:4 - [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
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR abs/2401.17481 (2024) - [i22]Alex Christopher Stutts, Danilo Erricolo
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
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
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
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. IROS 2023: 7742-7749 - [c29]Benjamin Parpillon
Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider. ISCAS 2023: 1-5 - [c28]Nastaran Darabi
Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED 2023: 1 - [c27]Ahish Shylendra, Swarup Bhunia
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
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i17]Alex C. Stutts, Danilo Erricolo
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
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
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access 10: 81447-81457 (2022) - [j13]Shubhra Deb Paul
RIHANN: Remote IoT Hardware Authentication With Intrinsic Identifiers. IEEE Internet Things J. 9(24): 24615-24627 (2022) - [j12]Dinesh Rajasekharan
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
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
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. AICAS 2022: 9-12 - [c25]Maeesha Binte Hashem, Nastaran Darabi
Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 2022: 1-2 - [c24]Ahish Shylendra, Priyesh Shukla
Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. ISCAS 2022: 1457-1461 - [i9]Priyesh Shukla
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. CoRR abs/2210.15559 (2022) - 2021
- [j10]Shamma Nasrin
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
On Database-Free Authentication of Microelectronic Components. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 149-161 (2021) - [c23]Shamma Nasrin, Priyesh Shukla
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
Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices. IEEE Access 8: 216259-216270 (2020) - [j7]Nick Iliev
Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring. IEEE Embed. Syst. Lett. 12(1): 9-12 (2020) - [j6]Ahish Shylendra
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
Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. ISQED 2020: 219-224 - [c19]Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla
Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. VLSID 2020: 19-24 - [i5]Priyesh Shukla
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. CoRR abs/2003.02629 (2020) - [i4]Ahish Shylendra, Priyesh Shukla
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
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
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
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
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
Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network. ICCD 2017: 297-300 - [c11]Tonmoy Dhar, Swarup Bhunia
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
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
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
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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last updated on 2024-12-02 21:30 CET by the dblp team
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