Janardhan Rao Doppa
Orcid: 0000-0002-3848-5301Affiliations:
- Washington State University, Pullman, WA, USA
- Oregon State University, Corvallis, OR, USA
According to our database1,
Janardhan Rao Doppa
authored at least 142 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on eecs.wsu.edu
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Bibliography
2024
Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach.
ACM Trans. Intell. Syst. Technol., February, 2024
CoRR, 2024
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks.
ACM Trans. Embed. Comput. Syst., October, 2023
ACM Trans. Design Autom. Electr. Syst., September, 2023
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
IEEE Trans. Emerg. Top. Comput., 2023
Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023
CoRR, 2023
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023
Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023
Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE European Test Symposium, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features.
J. Artif. Intell. Res., 2022
CoRR, 2022
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition.
CoRR, 2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures.
IEEE Trans. Very Large Scale Integr. Syst., 2021
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration.
ACM Trans. Design Autom. Electr. Syst., 2021
ACM Trans. Embed. Comput. Syst., 2021
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
ACM J. Emerg. Technol. Comput. Syst., 2021
J. Artif. Intell. Res., 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
An Energy-aware Online Learning Framework for Resource Management in Heterogeneous Platforms.
ACM Trans. Design Autom. Electr. Syst., 2020
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models.
ACM Trans. Embed. Comput. Syst., 2020
Analyzing Deep Learning for Time-Series Data Through Adversarial Lens in Mobile and IoT Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks.
ACM J. Emerg. Technol. Comput. Syst., 2020
ACM J. Emerg. Technol. Comput. Syst., 2020
Frontiers Robotics AI, 2020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints.
CoRR, 2020
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
PETNet: Polycount and Energy Trade-off Deep Networks for Producing 3D Objects from Images.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning.
IEEE Trans. Very Large Scale Integr. Syst., 2019
ACM Trans. Design Autom. Electr. Syst., 2019
MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems.
ACM Trans. Embed. Comput. Syst., 2019
Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems.
IEEE Trans. Computers, 2019
Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges.
IEEE Des. Test, 2019
Guest Editors' Introduction: Special Issue on Smart and Autonomous Systems for Sustainability.
IEEE Des. Test, 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Design and Optimization of Heterogeneous Manycore Systems Enabled by Emerging Interconnect Technologies: Promises and Challenges.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019
2018
IEEE Trans. Very Large Scale Integr. Syst., 2018
Performance and Thermal Tradeoffs for Energy-Efficient Monolithic 3D Network-on-Chip.
ACM Trans. Design Autom. Electr. Syst., 2018
Trading-Off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems.
IEEE Trans. Computers, 2018
Design Space Exploration of 3D Network-on-Chip: A Sensitivity-based Optimization Approach.
ACM J. Emerg. Technol. Comput. Syst., 2018
Computer, 2018
Proceedings of the Twelfth IEEE/ACM International Symposium on Networks-on-Chip, 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Very Large Scale Integr. Syst., 2017
ACM Trans. Design Autom. Electr. Syst., 2017
Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications.
IEEE Trans. Knowl. Data Eng., 2017
Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3-D Small-World Network-on-Chip.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017
3D NoC-Enabled Heterogeneous Manycore Architectures for Accelerating CNN Training: Performance and Thermal Trade-offs.
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Data analytics enables energy-efficiency and robustness: from mobile to manycores, datacenters, and networks (special session paper).
Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms.
Proceedings of The 9th Asian Conference on Machine Learning, 2017
Proceedings of the First Workshop on Language Grounding for Robotics, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3D Small-world Network-on-Chip.
CoRR, 2016
Energy-efficient and reliable 3D network-on-chip (NoC): architectures and optimization algorithms.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016
Hybrid network-on-chip architectures for accelerating deep learning kernels on heterogeneous manycore platforms.
Proceedings of the 2016 International Conference on Compilers, 2016
2015
Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
J. Artif. Intell. Res., 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.
ACM Trans. Intell. Syst. Technol., 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Proceedings of the 3rd Asian Conference on Machine Learning, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009