Janardhan Rao Doppa

According to our database1, Janardhan Rao Doppa authored at least 44 papers between 2009 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2018
Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications.
IEEE Trans. VLSI 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. on CAD of Integrated Circuits and Systems, 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.
JETC, 2018

Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis.
IEEE Computer, 2018

Abetting Planned Obsolescence by Aging 3D Networks-on-Chip.
Proceedings of the Twelfth IEEE/ACM International Symposium on Networks-on-Chip, 2018

Machine learning for design space exploration and optimization of manycore systems.
Proceedings of the International Conference on Computer-Aided Design, 2018

Hybrid on-chip communication architectures for heterogeneous manycore systems.
Proceedings of the International Conference on Computer-Aided Design, 2018

Preference-Guided Planning: An Active Elicitation Approach.
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
Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems.
IEEE Trans. VLSI Syst., 2017

VFI-Based Power Management to Enhance the Lifetime of High-Performance 3D NoCs.
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. on CAD of Integrated Circuits and Systems, 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

Adaptive Manycore Architectures for Big Data Computing.
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017

Monolithic 3D-Enabled High Performance and Energy Efficient Network-on-Chip.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Robust TSV-based 3D NoC design to counteract electromigration and crosstalk noise.
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

Learning to Speed Up Query Planning in Graph Databases.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search.
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

Towards Problem Solving Agents that Communicate and Learn.
Proceedings of the First Workshop on Language Grounding for Robotics, 2017

Active Preference Elicitation for Planning.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

Reliability and performance trade-offs for 3D NoC-enabled multicore chips.
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

Optimizing 3D NoC Design for Energy Efficiency: A Machine Learning Approach.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

ℋC-search for structured prediction in computer vision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning Greedy Policies for the Easy-First Framework.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Structured prediction via output space search.
Journal of Machine Learning Research, 2014

HC-Search: A Learning Framework for Search-based Structured Prediction.
J. Artif. Intell. Res., 2014

Prune-and-Score: Learning for Greedy Coreference Resolution.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning Scripts as Hidden Markov Models.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

HC-Search for Multi-Label Prediction: An Empirical Study.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.
ACM TIST, 2012

Output Space Search for Structured Prediction.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Learning Rules from Incomplete Examples via Implicit Mention Models.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Inverting Grice's Maxims to Learn Rules from Natural Language Extractions.
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
Learning Algorithms for Link Prediction Based on Chance Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009


  Loading...