Janardhan Rao Doppa

217 papers A* 36A 35B 1C 5Misc 4Journal 126Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Look-Up Table-Based Energy-Efficient Architecture for Neural Accelerators (LANA). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh, Janardhan Rao Doppa, Swarup Bhunia, Partha Pratim Pande, Baibhab Chatterjee
2026	J	`jnl`	MFIT : Multi-FIdelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures. ACM Trans. Design Autom. Electr. Syst. Lukas Pfromm, Alish Kanani, Harsh Sharma, Parth Solanki, Eric Tervo, Jaehyun Park, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2026	J	`jnl`	ThRIve: Thermally Robust CNN Inference via Low-Rank Adaptation in Heterogeneous PIM Architectures. ACM Trans. Design Autom. Electr. Syst. Vibhanshu Sharma, Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande
2025	J	`jnl`	An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models. CoRR Shlok Tomar, Aryan Deshwal, Ethan Villalovoz, Mattia Fazzini, Haipeng Cai, Janardhan Rao Doppa
2025	J	`jnl`	Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures. CoRR Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande
2025	J	`jnl`	Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande
2025	J	`jnl`	CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems. CoRR Lukas Pfromm, Alish Kanani, Harsh Sharma, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2025	J	`jnl`	Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support. CoRR Chibuike E. Ugwu, Roschelle Fritz, Diane J. Cook, Janardhan Rao Doppa
2025	J	`jnl`	Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression. CoRR Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, Janardhan Rao Doppa
2025	A	`conf`	DEAR: Dependable 3D Architecture for Robust DNN Training. DATE Ashish Reddy Bommana, Farshad Firouzi, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2025	J	`jnl`	Designing High-Performance and Thermally Feasible Multi-Chiplet Architectures enabled by Non-bendable Glass Interposer. CoRR Harsh Sharma, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
2025	J	`jnl`	Direct Prediction Set Minimization via Bilevel Conformal Classifier Training. CoRR Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Janardhan Rao Doppa, Yan Yan
2025	J	`jnl`	Energy-Efficient DNN Inferencing on ReRAM-Based PIM Accelerators Using Heterogeneous Operation Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Gaurav Narang, Janardhan Rao Doppa, Partha Pratim Pande
2025	J	`jnl`	GINA: Exploiting Graph Neural Network Layer Features for Energy Efficient Inferencing in NVM-based PIM Accelerators. ACM Trans. Embed. Comput. Syst. Gaurav Narang, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande
2025	J	`jnl`	HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator. CoRR Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande
2025	J	`jnl`	Learning Surrogates for Offline Black-Box Optimization via Gradient Matching. CoRR Minh Hoang, Azza Fadhel, Aryan Deshwal, Janardhan Rao Doppa, Trong Nghia Hoang
2025	A	`conf`	Odin: Learning to Optimize Operation Unit Configuration for Energy-efficient DNN Inferencing. DATE Gaurav Narang, Janardhan Rao Doppa, Partha Pratim Pande
2025	J	`jnl`	Online Optimization for Offline Safe Reinforcement Learning. CoRR Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Janardhan Rao Doppa
2025	A*	`conf`	Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management. IJCAI Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat, Janardhan Rao Doppa
2025	J	`jnl`	THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures. CoRR Alish Kanani, Lukas Pfromm, Harsh Sharma, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2025	A*	`conf`	Uncertainty-Aware Energy Management for Wearable IoT Devices with Conformal Prediction. DAC Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat, Janardhan Rao Doppa
2024	J	`jnl`	Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes. CoRR Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy
2024	J	`jnl`	AgAID Institute - AI for agricultural labor and decision support. AI Mag. Alan Fern, Margaret Burnett, Joseph R. Davidson, Janardhan Rao Doppa, Paola Pesántez-Cabrera, Ananth Kalyanaraman
2024	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
2024	J	`jnl`	Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration. CoRR Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
2024	J	`jnl`	Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning. CoRR Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Janardhan Rao Doppa
2024	A	`conf`	Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. DATE Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
2024	J	`jnl`	Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. CoRR Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
2024	J	`jnl`	Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning. J. Artif. Intell. Res. Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2024	A*	`conf`	Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach. IJCAI Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa
2024	A	`conf`	FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. DATE Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
2024	J	`jnl`	FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators. CoRR Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
2024	J	`jnl`	HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration. CoRR Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande
2024	A	`conf`	Heterogeneous Manycore In-Memory Computing Architectures. ICCAD Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande
2024	J	`jnl`	HuNT: Exploiting Heterogeneous PIM Devices to Design a 3-D Manycore Architecture for DNN Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande
2024	J	`jnl`	MFIT: Multi-Fidelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures. CoRR Lukas Pfromm, Alish Kanani, Harsh Sharma, Parth Solanki, Eric Tervo, Jaehyun Park, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2024	J	`jnl`	Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2024	J	`jnl`	Non-Myopic Multi-Objective Bayesian Optimization. CoRR Syrine Belakaria, Alaleh Ahmadianshalchi, Barbara Engelhardt, Stefano Ermon, Janardhan Rao Doppa
2024	A*	`conf`	Offline Model-Based Optimization via Policy-Guided Gradient Search. AAAI Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
2024	J	`jnl`	Offline Model-Based Optimization via Policy-Guided Gradient Search. CoRR Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
2024	J	`jnl`	Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach. ACM Trans. Intell. Syst. Technol. Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2024	A*	`conf`	Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. AAAI Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
2024	J	`jnl`	Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. CoRR Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
2024	A*	`conf`	Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract). AAAI Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
2024	—	`conf`	Preference-Aware Constrained Multi-Objective Bayesian Optimization. COMAD/CODS Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
2024	A	`conf`	SEC-CiM: Selective Error Compensation for ReRAM-based Compute-in-Memory ITC Ashish Reddy Bommana, Farshad Firouzi, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2024	J	`jnl`	Scalable and Programmable Look-Up Table based Neural Acceleration (LUT-NA) for Extreme Energy Efficiency. CoRR Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh, Janardhan Rao Doppa, Swarup Bhunia, Partha Pratim Pande, Baibhab Chatterjee
2024	A*	`conf`	Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. IJCAI Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2024	J	`jnl`	Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2024	J	`jnl`	TEFLON: Thermally Efficient Dataflow-aware 3D NoC for Accelerating CNN Inferencing on Manycore PIM Architectures. ACM Trans. Embed. Comput. Syst. Gaurav Narang, Chukwufumnanya Ogbogu, Janardhan Rao Doppa, Partha Pratim Pande
2024	Misc	`conf`	Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5D Chiplet Platforms and Beyond. VTS Jaehyun Park, Alish Kanani, Lukas Pfromm, Harsh Sharma, Parth Solanki, Eric Tervo, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2023	J	`jnl`	A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models. CoRR Harsh Sharma, Pratyush Dhingra, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
2023	J	`jnl`	Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande
2023	A	`conf`	Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures. DATE Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
2023	A*	`conf`	Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract). IJCAI Taha Belkhouja, Janardhan Rao Doppa
2023	B	`conf`	Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. ETS Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2023	A	`conf`	Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. AISTATS Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth
2023	A	`conf`	Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
2023	J	`jnl`	Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. CoRR Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
2023	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
2023	J	`jnl`	CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
2023	J	`jnl`	Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework. ACM Trans. Design Autom. Electr. Syst. Gaurav Narang, Aryan Deshwal, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande
2023	A	`conf`	Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty
2023	J	`jnl`	Dynamic Time Warping Based Adversarial Framework for Time-Series Domain. IEEE Trans. Pattern Anal. Mach. Intell. Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2023	J	`jnl`	ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
2023	A	`conf`	Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach. ISLPED Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa
2023	A	`conf`	Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. ISLPED Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande
2023	J	`jnl`	Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks. ACM Trans. Embed. Comput. Syst. Harsh Sharma, Lukas Pfromm, Rasit Onur Topaloglu, Janardhan Rao Doppa, Ümit Y. Ogras, Ananth Kalyanaraman, Partha Pratim Pande
2023	A*	`conf`	Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. AAAI Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2023	J	`jnl`	Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. CoRR Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2023	J	`jnl`	Preference-Aware Constrained Multi-Objective Bayesian Optimization. CoRR Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
2023	J	`jnl`	ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. IEEE Trans. Emerg. Top. Comput. Biresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande
2023	A	`conf`	Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems. ISLPED Gaurav Narang, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande
2022	J	`jnl`	Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande
2022	A*	`conf`	Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. AAAI Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa
2022	J	`jnl`	Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. CoRR Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa
2022	J	`jnl`	Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features. CoRR Taha Belkhouja, Janardhan Rao Doppa
2022	J	`jnl`	Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features. J. Artif. Intell. Res. Taha Belkhouja, Janardhan Rao Doppa
2022	J	`jnl`	Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. CoRR Syrine Belakaria, Rishit Sheth, Janardhan Rao Doppa, Nicolò Fusi
2022	A*	`conf`	Bayesian Optimization over Permutation Spaces. AAAI Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
2022	A	`conf`	DIET: A Dynamic Energy Management Approach for Wearable Health Monitoring Devices. DATE Nuzhat Yamin, Ganapati Bhat, Janardhan Rao Doppa
2022	J	`jnl`	Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition. CoRR Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
2022	J	`jnl`	Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	A	`conf`	Fault-Tolerant Deep Learning Using Regularization. ICCAD Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande
2022	J	`jnl`	High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Biresh Kumar Joardar, Aryan Deshwal, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2022	J	`jnl`	Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR Harsha Kokel, Mayukh Das, Md. Rakibul Islam, Julia Bonn, Jon Z. Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth
2022	—	`conf`	NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. ISQED Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2022	J	`jnl`	Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach. CoRR Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	A	`conf`	Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees. ICCAD Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa
2022	J	`jnl`	SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
2022	A*	`conf`	Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. AAAI Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	J	`jnl`	Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. CoRR Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	J	`jnl`	Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. CoRR Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2021	A	`conf`	3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration. DATE Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande
2021	A	`conf`	A General Hardware and Software Co-Design Framework for Energy-Efficient Edge AI. ICCAD Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
2021	J	`jnl`	AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty
2021	A*	`conf`	Adaptive Experimental Design for Optimizing Combinatorial Structures. IJCAI Janardhan Rao Doppa
2021	A*	`conf`	Bayesian Optimization over Hybrid Spaces. ICML Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2021	J	`jnl`	Bayesian Optimization over Hybrid Spaces. CoRR Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2021	J	`jnl`	Bayesian Optimization over Permutation Spaces. CoRR Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
2021	J	`jnl`	CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning. CoRR Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
2021	A*	`conf`	Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. NeurIPS Aryan Deshwal, Janardhan Rao Doppa
2021	J	`jnl`	Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. CoRR Aryan Deshwal, Janardhan Rao Doppa
2021	A	`conf`	DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. ICCAD Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2021	J	`jnl`	HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. ACM Trans. Design Autom. Electr. Syst. Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
2021	A	`conf`	Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). ICCAD Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty
2021	A*	`conf`	Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. DAC Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande
2021	J	`jnl`	Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. CoRR Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande
2021	J	`jnl`	Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. ACM Trans. Embed. Comput. Syst. Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
2021	A*	`conf`	Mercer Features for Efficient Combinatorial Bayesian Optimization. AAAI Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2021	A	`conf`	Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li
2021	J	`jnl`	Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
2021	J	`jnl`	Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. CoRR Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2021	J	`jnl`	Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. J. Artif. Intell. Res. Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2021	J	`jnl`	Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures. IEEE Trans. Very Large Scale Integr. Syst. Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2021	J	`jnl`	Power Management of Monolithic 3D Manycore Chips with Inter-tier Process Variations. ACM J. Emerg. Technol. Comput. Syst. Anwesha Chatterjee, Shouvik Musavvir, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande
2021	A	`conf`	ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. DATE Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Biresh Kumar Joardar, Krishnendu Chakrabarty
2021	J	`jnl`	ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. CoRR Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2021	J	`jnl`	ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. CoRR Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
2021	J	`jnl`	SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. CoRR Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
2020	J	`jnl`	3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Joe X. Qiu, Hai (Helen) Li
2020	J	`jnl`	An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms. CoRR Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2020	J	`jnl`	An Energy-aware Online Learning Framework for Resource Management in Heterogeneous Platforms. ACM Trans. Design Autom. Electr. Syst. Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2020	J	`jnl`	Analyzing Deep Learning for Time-Series Data Through Adversarial Lens in Mobile and IoT Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Taha Belkhouja, Janardhan Rao Doppa
2020	J	`jnl`	Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models. ACM Trans. Embed. Comput. Syst. Nitthilan Kanappan Jayakodi, Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020	A	`conf`	Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning. DATE Zhiyuan Zhou, Syrine Belakaria, Aryan Deshwal, Wookpyo Hong, Janardhan Rao Doppa, Partha Pratim Pande, Deukhyoun Heo
2020	J	`jnl`	Few-Shot Induction of Generalized Logical Concepts via Human Guidance. Frontiers Robotics AI Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
2020	A	`conf`	GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. DATE Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty
2020	J	`jnl`	HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. CoRR Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
2020	J	`jnl`	Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations. CoRR Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020	J	`jnl`	Making a Case for Partially Connected 3D NoC: NFIC versus TSV. ACM J. Emerg. Technol. Comput. Syst. Aqeeb Iqbal Arka, Srinivasan Gopal, Janardhan Rao Doppa, Deukhyoun Heo, Partha Pratim Pande
2020	J	`jnl`	Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints. CoRR Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020	J	`jnl`	Mercer Features for Efficient Combinatorial Bayesian Optimization. CoRR Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2020	A*	`conf`	Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. AAAI Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020	J	`jnl`	Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. CoRR Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020	A*	`conf`	Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data. KDD Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
2020	J	`jnl`	Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data. CoRR Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
2020	A*	`conf`	Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. DAC Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande
2020	J	`jnl`	Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. CoRR Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande
2020	A*	`conf`	Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
2020	J	`jnl`	Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
2020	A*	`conf`	PETNet: Polycount and Energy Trade-off Deep Networks for Producing 3D Objects from Images. DAC Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
2020	A	`conf`	Power, Performance, and Thermal Trade-offs in M3D-enabled Manycore Chips. DATE Shouvik Musavvir, Anwesha Chatterjee, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
2020	A	`conf`	SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. ICCAD Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
2020	J	`jnl`	Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. CoRR Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2020	J	`jnl`	Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints. CoRR Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020	A*	`conf`	Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. AAAI Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2019	J	`jnl`	Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability. CoRR Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2019	J	`jnl`	Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges. IEEE Des. Test Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan
2019	A	`conf`	Design and Optimization of Heterogeneous Manycore Systems Enabled by Emerging Interconnect Technologies: Promises and Challenges. DATE Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande
2019	J	`jnl`	Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning. IEEE Trans. Very Large Scale Integr. Syst. Sumit K. Mandal, Ganapati Bhat, Chetan Arvind Patil, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2019	J	`jnl`	Guest Editors' Introduction: Special Issue on Smart and Autonomous Systems for Sustainability. IEEE Des. Test Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan
2019	J	`jnl`	Impact of Electrostatic Coupling on Monolithic 3D-enabled Network on Chip. ACM Trans. Design Autom. Electr. Syst. Dongjin Lee, Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2019	A*	`conf`	Learning and Inference for Structured Prediction: A Unifying Perspective. IJCAI Aryan Deshwal, Janardhan Rao Doppa, Dan Roth
2019	J	`jnl`	Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. IEEE Trans. Computers Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2019	J	`jnl`	MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems. ACM Trans. Embed. Comput. Syst. Aryan Deshwal, Nitthilan Kannappan Jayakodi, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande
2019	A*	`conf`	Max-value Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2019	J	`jnl`	One-Shot Induction of Generalized Logical Concepts via Human Guidance. CoRR Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
2019	J	`jnl`	Planning with actively eliciting preferences. Knowl. Based Syst. Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
2019	A	`conf`	REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs. DATE Biresh Kumar Joardar, Bing Li, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty
2019	A*	`conf`	Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. IJCAI Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth
2019	Misc	`conf`	Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao
2019	J	`jnl`	Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. CoRR Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande
2018	—	`conf`	Abetting Planned Obsolescence by Aging 3D Networks-on-Chip. NOCS Sourav Das, Kanad Basu, Janardhan Rao Doppa, Partha Pratim Pande, Ramesh Karri, Krishnendu Chakrabarty
2018	J	`jnl`	Active Anomaly Detection via Ensembles. CoRR Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2018	A*	`conf`	Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization. AAAI Ellis Hoag, Janardhan Rao Doppa
2018	J	`jnl`	Design Space Exploration of 3D Network-on-Chip: A Sensitivity-based Optimization Approach. ACM J. Emerg. Technol. Comput. Syst. Dongjin Lee, Sourav Das, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
2018	J	`jnl`	GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression. CoRR Shubhomoy Das, Janardhan Rao Doppa
2018	A	`conf`	Hybrid on-chip communication architectures for heterogeneous manycore systems. ICCAD Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2018	J	`jnl`	Learning Scripts as Hidden Markov Models. CoRR John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
2018	J	`jnl`	Learning to Speed Up Query Planning in Graph Databases. CoRR Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu
2018	J	`jnl`	Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. CoRR Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2018	J	`jnl`	Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. Computer Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2018	A	`conf`	Machine learning for design space exploration and optimization of manycore systems. ICCAD Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande
2018	J	`jnl`	On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. IEEE Trans. Computers Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2018	J	`jnl`	Performance and Thermal Tradeoffs for Energy-Efficient Monolithic 3D Network-on-Chip. ACM Trans. Design Autom. Electr. Syst. Dongjin Lee, Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2018	A	`conf`	Preference-Guided Planning: An Active Elicitation Approach. AAMAS Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
2018	J	`jnl`	Preference-Guided Planning: An Active Elicitation Approach. CoRR Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
2018	J	`jnl`	Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications. IEEE Trans. Very Large Scale Integr. Syst. Xian Li, Karthi Duraisamy, Paul Bogdan, Janardhan Rao Doppa, Partha Pratim Pande
2018	J	`jnl`	Trading-Off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande
2017	—	`conf`	3D NoC-Enabled Heterogeneous Manycore Architectures for Accelerating CNN Training: Performance and Thermal Trade-offs. NOCS Biresh Kumar Joardar, Wonje Choi, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2017	—	`conf`	Active Preference Elicitation for Planning. AAAI Workshops Mayukh Das, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
2017	—	`conf`	Adaptive Manycore Architectures for Big Data Computing. NOCS Janardhan Rao Doppa, Ryan Gary Kim, Mihailo Isakov, Michel A. Kinsy, Hyoukjun Kwon, Tushar Krishna
2017	Misc	`conf`	Data analytics enables energy-efficiency and robustness: from mobile to manycores, datacenters, and networks (special session paper). CODES+ISSS Sudeep Pasricha, Janardhan Rao Doppa, Krishnendu Chakrabarty, Saideep Tiku, Daniel Dauwe, Shi Jin, Partha Pratim Pande
2017	J	`jnl`	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. Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2017	J	`jnl`	Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems. IEEE Trans. Very Large Scale Integr. Syst. Ryan Gary Kim, Wonje Choi, Zhuo Chen, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2017	J	`jnl`	Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications. IEEE Trans. Knowl. Data Eng. Bryan David Minor, Janardhan Rao Doppa, Diane J. Cook
2017	A*	`conf`	Learning to Speed Up Query Planning in Graph Databases. ICAPS Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu
2017	J	`jnl`	Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. CoRR Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2017	C	`conf`	Monolithic 3D-Enabled High Performance and Energy Efficient Network-on-Chip. ICCD Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2017	C	`conf`	Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms. ACML Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Z. Fern
2017	J	`jnl`	On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. CoRR Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2017	A	`conf`	Robust TSV-based 3D NoC design to counteract electromigration and crosstalk noise. DATE Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2017	C	`conf`	Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search. ACML F. A. Rezaur Rahman Chowdhury, Chao Ma, Md. Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa
2017	—	`conf`	Towards Problem Solving Agents that Communicate and Learn. RoboNLP@ACL Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth
2017	J	`jnl`	VFI-Based Power Management to Enhance the Lifetime of High-Performance 3D NoCs. ACM Trans. Design Autom. Electr. Syst. Sourav Das, Dongjin Lee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2016	J	`jnl`	Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3D Small-world Network-on-Chip. CoRR Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2016	A	`conf`	Energy-efficient and reliable 3D network-on-chip (NoC): architectures and optimization algorithms. ICCAD Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2016	Misc	`conf`	Hybrid network-on-chip architectures for accelerating deep learning kernels on heterogeneous manycore platforms. CASES Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Radu Marculescu, Diana Marculescu
2016	A	`conf`	Reliability and performance trade-offs for 3D NoC-enabled multicore chips. DATE Sourav Das, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2015	A*	`conf`	Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications. KDD Bryan David Minor, Janardhan Rao Doppa, Diane J. Cook
2015	A*	`conf`	Learning Greedy Policies for the Easy-First Framework. AAAI Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli
2015	A	`conf`	Optimizing 3D NoC Design for Energy Efficiency: A Machine Learning Approach. ICCAD Sourav Das, Janardhan Rao Doppa, Daehyun Kim, Partha Pratim Pande, Krishnendu Chakrabarty
2015	A*	`conf`	ℋC-search for structured prediction in computer vision. CVPR Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich
2014	A*	`conf`	HC-Search for Multi-Label Prediction: An Empirical Study. AAAI Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli
2014	J	`jnl`	HC-Search: A Learning Framework for Search-based Structured Prediction. J. Artif. Intell. Res. Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2014	A*	`conf`	Learning Scripts as Hidden Markov Models. AAAI John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
2014	A*	`conf`	Prune-and-Score: Learning for Greedy Coreference Resolution. EMNLP Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli
2014	J	`jnl`	Structured prediction via output space search. J. Mach. Learn. Res. Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2013	A*	`conf`	HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. AAAI Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2013	—	`conf`	Learning to Detect Basal Tubules of Nematocysts in SEM Images. ICCV Workshops Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly
2012	J	`jnl`	An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song
2012	A*	`conf`	Output Space Search for Structured Prediction. ICML Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2011	—	`conf`	Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. NIPS Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
2011	C	`conf`	Learning Rules from Incomplete Examples via Implicit Mention Models. ACML Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine
2010	—	`conf`	Learning Algorithms for Link Prediction Based on Chance Constraints. ECML/PKDD (1) Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor
2009	C	`conf`	An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread