Search Results - Janardhan Rao Doppa

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  1. 41
    Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning

    Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning by Das, Shubhomoy, Islam, Md Rakibul, Kannappan Jayakodi, Nitthilan, Doppa, Janardhan Rao

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  2. 42
    Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models

    Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models by Jayakodi, Nitthilan Kanappan, Belakaria, Syrine, Deshwal, Aryan, Doppa, Janardhan Rao

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  3. 43
    DIET: A Dynamic Energy Management Approach for Wearable Health Monitoring Devices

    DIET: A Dynamic Energy Management Approach for Wearable Health Monitoring Devices by Yamin, Nuzhat, Bhat, Ganapati, Doppa, Janardhan Rao

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  4. 44
    Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization

    Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization by Belakaria, Syrine, Deshwal, Aryan, Janardhan Rao Doppa

    Published in arXiv.org
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  5. 45
    TEFLON: Thermally Efficient Dataflow-aware 3D NoC for Accelerating CNN Inferencing on Manycore PIM Architectures

    TEFLON: Thermally Efficient Dataflow-aware 3D NoC for Accelerating CNN Inferencing on Manycore PIM Architectures by Narang, Gaurav, Ogbogu, Chukwufumnanya, Doppa, Janardhan Rao, Pande, Partha Pratim

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  6. 46
    Mercer Features for Efficient Combinatorial Bayesian Optimization

    Mercer Features for Efficient Combinatorial Bayesian Optimization by Deshwal, Aryan, Belakaria, Syrine, Doppa, Janardhan Rao

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  7. 47
    Bayesian Optimization over Permutation Spaces

    Bayesian Optimization over Permutation Spaces by Deshwal, Aryan, Belakaria, Syrine, Doppa, Janardhan Rao, Kim, Dae Hyun

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  8. 48
    Dynamic Time Warping based Adversarial Framework for Time-Series Domain

    Dynamic Time Warping based Adversarial Framework for Time-Series Domain by Taha Belkhouja, Yan, Yan, Janardhan Rao Doppa

    Published in arXiv.org
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  9. 49
    Machine Learning for Design Space Exploration and Optimization of Manycore Systems

    Machine Learning for Design Space Exploration and Optimization of Manycore Systems by Kim, Ryan Gary, Doppa, Janardhan Rao, Pande, Partha Pratim

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  10. 50
    Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators

    Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators by Wu, Xueying, Hanson, Edward, Wang, Nansu, Zheng, Qilin, Yang, Xiaoxuan, Yang, Huanrui, Li, Shiyu, Cheng, Feng, Pande, Partha Pratim, Doppa, Janardhan Rao, Chakrabarty, Krishnendu, Li, Hai

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  11. 51
    Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis

    Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis by Taha Belkhouja, Yan, Yan, Janardhan Rao Doppa

    Published in arXiv.org
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  12. 52
    AgAID Institute—AI for agricultural labor and decision support

    AgAID Institute—AI for agricultural labor and decision support by Fern, Alan, Burnett, Margaret, Davidson, Joseph, Doppa, Janardhan Rao, Pesantez‐Cabrera, Paola, Kalyanaraman, Ananth

    Published in The AI magazine
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  13. 53
    Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems

    Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems by Kim, Ryan Gary, Wonje Choi, Zhuo Chen, Doppa, Janardhan Rao, Pande, Partha Pratim, Marculescu, Diana, Marculescu, Radu

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  14. 54
    NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications

    NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications by Joardar, Biresh Kumar, Rao Doppa, Janardhan, Pande, Partha Pratim, Chakrabarty, Krishnendu

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  15. 55
    Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators

    Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators by Joardar, Biresh Kumar, Doppa, Janardhan Rao, Li, Hai, Chakrabarty, Krishnendu, Pande, Partha Pratim

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  16. 56
    Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations

    Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations by Gantzler, Nickolas, Deshwal, Aryan, Doppa, Janardhan Rao, Simon, Cory M

    Published in Digital discovery
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  17. 57
    ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks

    ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks by Arka, Aqeeb Iqbal, Doppa, Janardhan Rao, Pande, Partha Pratim, Joardar, Biresh Kumar, Chakrabarty, Krishnendu

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  18. 58
    HC-Search: A Learning Framework for Search-based Structured Prediction

    HC-Search: A Learning Framework for Search-based Structured Prediction by Doppa, J.R., Fern, A., Tadepalli, P.

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  19. 59
    Impact of Electrostatic Coupling on Monolithic 3D-enabled Network on Chip

    Impact of Electrostatic Coupling on Monolithic 3D-enabled Network on Chip by Lee, Dongjin, Das, Sourav, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu

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  20. 60
    Monolithic 3D-Enabled High Performance and Energy Efficient Network-on-Chip

    Monolithic 3D-Enabled High Performance and Energy Efficient Network-on-Chip by Das, Sourav, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu

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