J. Doppa

发表

Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications

Diane J. Cook, Janardhan Rao Doppa, Bryan Minor, 2015, KDD.

Abetting Planned Obsolescence by Aging 3D Networks-on-Chip

Partha Pratim Pande, Ramesh Karri, Krishnendu Chakrabarty, 2018, 2018 Twelfth IEEE/ACM International Symposium on Networks-on-Chip (NOCS).

ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems

Hai Helen Li, P. Pande, K. Chakrabarty, 2023, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

3D-ReG

Partha Pratim Pande, Bing Li, Hai Li, 2020, ACM J. Emerg. Technol. Comput. Syst..

Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces pdf

Janardhan Rao Doppa, Aryan Deshwal, Aryan Deshwal, 2021, NeurIPS.

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework pdf

Alan Fern, Janardhan Rao Doppa, Syrine Belakaria, 2020, AAAI.

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach

Nicoló Fusi, Rishit Sheth, Syrine Belakaria, 2022, AISTATS.

Prune-and-Score: Learning for Greedy Coreference Resolution

Thomas G. Dietterich, Xiaoli Z. Fern, Chao Ma, 2014, EMNLP.

Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data

Diane J. Cook, Janardhan Rao Doppa, Garrett Wilson, 2020, KDD.

Scalable Network-on-Chip Architectures for Brain–Machine Interface Applications

Partha Pratim Pande, Janardhan Rao Doppa, Paul Bogdan, 2018, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks

Partha Pratim Pande, Krishnendu Chakrabarty, Janardhan Rao Doppa, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Bayesian optimization of nanoporous materials

Janardhan Rao Doppa, Cory M. Simon, Aryan Deshwal, 2021, Molecular Systems Design & Engineering.

Max-value Entropy Search for Multi-Objective Bayesian Optimization

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2020, NeurIPS.

Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability pdf

Shubhomoy Das, Janardhan Rao Doppa, Md Rakibul Islam, 2019, ArXiv.

Chance-Constrained Programs for Link Prediction

Prasad Tadepalli, Jun Yu, P. Tadepalli, 2009 .

Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems

Radu Marculescu, Partha Pratim Pande, Diana Marculescu, 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Learning Algorithms for Link Prediction Based on Chance Constraints

Jun Yu, Lise Getoor, Janardhan Rao Doppa, 2010, ECML/PKDD.

On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems

Radu Marculescu, Partha Pratim Pande, Diana Marculescu, 2017, IEEE Transactions on Computers.

CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning

D. Cook, Garrett Wilson, J. Doppa, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Janardhan Rao Doppa, Taha Belkhouja, Yan Yan, 2022, AAAI.

MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems

Janardhan Rao Doppa, Biresh Kumar Joardar, Nitthilan Kanappan Jayakodi, 2019, ACM Trans. Embed. Comput. Syst..

Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems

Radu Marculescu, Partha Pratim Pande, Diana Marculescu, 2018, IEEE Transactions on Computers.

Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3-D Small-World Network-on-Chip

Partha Pratim Pande, Krishnendu Chakrabarty, Janardhan Rao Doppa, 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Bayesian Optimization over Hybrid Spaces

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2021, ICML.

Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

Janardhan Rao Doppa, Nitthilan Kanappan Jayakodi, Syrine Belakaria, 2020, AAAI.

Mercer Features for Efficient Combinatorial Bayesian Optimization pdf

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2020, AAAI.

Active Anomaly Detection via Ensembles pdf

Shubhomoy Das, Janardhan Rao Doppa, Md Rakibul Islam, 2018, ArXiv.

Towards learning rules from natural texts

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2010, HLT-NAACL 2010.

Learning Rules from Incomplete Examples: A Pragmatic Approach

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2010, HLT-NAACL 2010.

Machine Learning Enabled Design Automation and Multi-Objective Optimization for Electric Transportation Power Systems

Syrine Belakaria, Yue Cao, Xiaonan Lu, 2022, IEEE Transactions on Transportation Electrification.

HC-Search: A Learning Framework for Search-based Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2014, J. Artif. Intell. Res..

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2013, AAAI.

Output Space Search for Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2012, ICML.

Structured prediction via output space search

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2014, J. Mach. Learn. Res..

SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator

Sumit K. Mandal, P. Pande, U. Ogras, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures

Ümit Y. Ogras, Sumit K. Mandal, P. Pande, 2023, 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

Janardhan Rao Doppa, David Eriksson, Sebastian Ament, 2023, AISTATS.

Machine Learning for Design Space Exploration and Optimization of Manycore Systems

Partha Pratim Pande, Janardhan Rao Doppa, Ryan Gary Kim, 2018, 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Optimizing 3D NoC design for energy efficiency: A machine learning approach

Partha Pratim Pande, Krishnendu Chakrabarty, Janardhan Rao Doppa, 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

One-Shot Induction of Generalized Logical Concepts via Human Guidance

Janardhan Rao Doppa, Mayukh Das, Sriraam Natarajan, 2019, ArXiv.

An Ensemble Learning and Problem Solving Architecture for Airspace Management

Santiago Ontañón, James A. Hendler, Thomas G. Dietterich, 2009, IAAI.

3D NoC-enabled heterogeneous manycore architectures for accelerating CNN training: Performance and thermal trade-offs

Radu Marculescu, Partha Pratim Pande, Diana Marculescu, 2017, 2017 Eleventh IEEE/ACM International Symposium on Networks-on-Chip (NOCS).

Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures

Partha Pratim Pande, Krishnendu Chakrabarty, Janardhan Rao Doppa, 2021, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise

Partha Pratim Pande, Krishnendu Chakrabarty, Janardhan Rao Doppa, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs

Biresh Kumar Joardar, Hai Helen Li, P. Pande, 2023, IEEE Transactions on Emerging Topics in Computing.

GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning

Shubhomoy Das, Janardhan Rao Doppa, Sriraam Natarajan, 2018 .

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models pdf

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2020, ArXiv.

Data analytics enables energy-efficiency and robustness: from mobile to manycores, datacenters, and networks (special session paper)

Janardhan Rao Doppa, S. Pasricha, P. Pande, 2017, CODES+ISSS.

Special session paper: data analytics enables energy- efficiency and robustness: from mobile to manycores, datacenters, and networks

Partha Pratim Pande, Krishnendu Chakrabarty, Sudeep Pasricha, 2017, 2017 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

Bayesian Optimization over Permutation Spaces pdf

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2021, AAAI.

Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health

Ganapati Bhat, Janardhan Rao Doppa, Dina Hussein, 2022, AAAI.

Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems

P. Pande, M. Kishinevsky, R. Ayoub, 2023, 2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework

P. Pande, M. Kishinevsky, Aryan Deshwal, 2023, ACM Trans. Design Autom. Electr. Syst..

Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet

Janardhan Rao Doppa, Biresh Kumar Joardar, Aqeeb Iqbal Arka, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators

P. Pande, Huanrui Yang, Qilin Zheng, 2023, ArXiv.

Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition

Janardhan Rao Doppa, D. Cook, Garrett Wilson, 2022, ArXiv.

Learning to Detect Basal Tubules of Nematocysts in SEM Images

Thomas G. Dietterich, Michael Lam, Xu Hu, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Performance and Thermal Tradeoffs for Energy-Efficient Monolithic 3D Network-on-Chip

Partha Pratim Pande, Dongjin Lee, Krishnendu Chakrabarty, 2018, ACM Trans. Design Autom. Electr. Syst..

Multi-fidelity Bayesian Optimization of Covalent Organic Frameworks for Xenon/Krypton Separations

Aryan Deshwal, N. Gantzler, J. Doppa, 2023, Digital Discovery.

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

Syrine Belakaria, J. Doppa, Alaleh Ahmadianshalchi, 2024, AAAI.

Preference-Aware Constrained Multi-Objective Bayesian Optimization

Syrine Belakaria, J. Doppa, Alaleh Ahmadianshalchi, 2023, COMAD/CODS.

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization pdf

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2021, J. Artif. Intell. Res..

Adaptive Experimental Design for Optimizing Combinatorial Structures

Janardhan Rao Doppa, J. Doppa, 2021, IJCAI.

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

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2020, ACM Trans. Embed. Comput. Syst..

MOOS

Partha Pratim Pande, Janardhan Rao Doppa, Biresh Kumar Joardar, 2019, ACM Trans. Embed. Comput. Syst..

ℋC-search for structured prediction in computer vision

Thomas G. Dietterich, Michael Lam, Janardhan Rao Doppa, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach pdf

Janardhan Rao Doppa, Syrine Belakaria, Aryan Deshwal, 2020, AAAI.

Learning to Speed Up Query Planning in Graph Databases pdf

Mohammad Hossein Namaki, Yinghui Wu, Janardhan Rao Doppa, 2017, ICAPS.

Offline Model-Based Optimization via Policy-Guided Gradient Search

Aryan Deshwal, J. Doppa, Yassine Chemingui, 2024, AAAI.

Taming Extreme Heterogeneity via Machine Learning based Design of Autonomous Manycore Systems

Shahin Nazarian, Janardhan Rao Doppa, Paul Bogdan, 2019, 2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration

Santiago Ontañón, James A. Hendler, Thomas G. Dietterich, 2012, TIST.

Hybrid network-on-chip architectures for accelerating deep learning kernels on heterogeneous manycore platforms

Radu Marculescu, Partha Pratim Pande, Diana Marculescu, 2016, 2016 International Conference on Compliers, Architectures, and Sythesis of Embedded Systems (CASES).

Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features

Janardhan Rao Doppa, Taha Belkhouja, J. Doppa, 2022, J. Artif. Intell. Res..