Janardhan Rao Doppa

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 168

Top Venues

Publications

Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators. CoRR (2024)
Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. DATE (2024)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract). AAAI (2024)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Preference-Aware Constrained Multi-Objective Bayesian Optimization. COMAD/CODS (2024)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. CoRR (2024)
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
Offline Model-Based Optimization via Policy-Guided Gradient Search. CoRR (2024)
Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (8) (2024)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Jaehyun Park, Alish Kanani, Lukas Pfromm, Harsh Sharma, Parth Solanki, Eric Tervo, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5D Chiplet Platforms and Beyond. VTS (2024)
Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration. CoRR (2024)
Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. DATE (2024)
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
Offline Model-Based Optimization via Policy-Guided Gradient Search. AAAI (2024)
Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes. CoRR (2024)
Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh, Janardhan Rao Doppa, Swarup Bhunia, Partha Pratim Pande, Baibhab Chatterjee
Scalable and Programmable Look-Up Table based Neural Acceleration (LUT-NA) for Extreme Energy Efficiency. CoRR (2024)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. AAAI (2024)
Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. CoRR (2024)
Alan Fern, Margaret Burnett, Joseph R. Davidson, Janardhan Rao Doppa, Paola Pesántez-Cabrera, Ananth Kalyanaraman
AgAID Institute - AI for agricultural labor and decision support. AI Mag. 45 (1) (2024)
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR (2024)
Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning. J. Artif. Intell. Res. 80 (2024)
Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande
Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (8) (2023)
Harsh Sharma, Pratyush Dhingra, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models. CoRR (2023)
Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. ETS (2023)
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Gaurav Narang, Aryan Deshwal, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande
Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework. ACM Trans. Design Autom. Electr. Syst. 28 (5) (2023)
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
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR (2023)
Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. ISLPED (2023)
Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. CoRR (2023)
Gaurav Narang, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande
Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems. ISLPED (2023)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Dynamic Time Warping Based Adversarial Framework for Time-Series Domain. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa
Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach. ISLPED (2023)
Taha Belkhouja, Janardhan Rao Doppa
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract). IJCAI (2023)
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS (2023)
Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty
Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE (2023)
Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. AISTATS (2023)
Biresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande
ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Harsh Sharma, Lukas Pfromm, Rasit Onur Topaloglu, Janardhan Rao Doppa, Ümit Y. Ogras, Ananth Kalyanraman, Partha Pratim Pande
Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. AAAI (2023)
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. CoRR (2023)
Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures. DATE (2023)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Preference-Aware Constrained Multi-Objective Bayesian Optimization. CoRR (2023)
Taha Belkhouja, Janardhan Rao Doppa
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features. J. Artif. Intell. Res. 73 (2022)
Biresh Kumar Joardar, Aryan Deshwal, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition. CoRR (2022)
Syrine Belakaria, Rishit Sheth, Janardhan Rao Doppa, Nicolò Fusi
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. CoRR (2022)
Harsh Sharma, Sumit K. Mandal, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande
SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. CoRR (2022)
Taha Belkhouja, Janardhan Rao Doppa
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features. CoRR (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. CoRR (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach. CoRR (2022)
Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande
Fault-Tolerant Deep Learning Using Regularization. ICCAD (2022)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
Bayesian Optimization over Permutation Spaces. AAAI (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. AAAI (2022)
Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa
Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees. ICCAD (2022)
Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. CoRR (2022)
Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. AAAI (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR (2022)
Harsha Kokel, Mayukh Das, Md Rakibul Islam, Julia Bonn, Jon Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth
Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR (2022)
Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. ISQED (2022)
Nuzhat Yamin, Ganapati Bhat, Janardhan Rao Doppa
DIET: A Dynamic Energy Management Approach for Wearable Health Monitoring Devices. DATE (2022)
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning. CoRR (2021)
Aryan Deshwal, Janardhan Rao Doppa
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. CoRR (2021)
Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Janardhan Rao Doppa
Adaptive Experimental Design for Optimizing Combinatorial Structures. IJCAI (2021)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. CoRR (2021)
Anwesha Chatterjee, Shouvik Musavvir, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande
Power Management of Monolithic 3D Manycore Chips with Inter-tier Process Variations. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. DAC (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Bayesian Optimization over Hybrid Spaces. ICML (2021)
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR (2021)
Aryan Deshwal, Janardhan Rao Doppa
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. NeurIPS (2021)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. J. Artif. Intell. Res. 72 (2021)
Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. CoRR (2021)
Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty
AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (5) (2021)
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
Bayesian Optimization over Permutation Spaces. CoRR (2021)
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29 (10) (2021)
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. CoRR (2021)
Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. CoRR (2021)
Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). ICCAD (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Bayesian Optimization over Hybrid Spaces. CoRR (2021)
Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Biresh Kumar Joardar, Krishnendu Chakrabarty
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. DATE (2021)
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. ACM Trans. Design Autom. Electr. Syst. 26 (2) (2021)
Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. CoRR (2021)
Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande
3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration. DATE (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Mercer Features for Efficient Combinatorial Bayesian Optimization. AAAI (2021)
Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
A General Hardware and Software Co-Design Framework for Energy-Efficient Edge AI. ICCAD (2021)
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. ICCAD (2021)
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data. CoRR (2020)
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. CoRR (2020)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints. CoRR (2020)
Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
PETNet: Polycount and Energy Trade-off Deep Networks for Producing 3D Objects from Images. DAC (2020)
Nitthilan Kanappan Jayakodi, Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models. ACM Trans. Embed. Comput. Syst. 19 (1) (2020)
Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms. CoRR (2020)
Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. DATE (2020)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations. CoRR (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI (2020)
Shouvik Musavvir, Anwesha Chatterjee, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande
Power, Performance, and Thermal Trade-offs in M3D-enabled Manycore Chips. DATE (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. CoRR (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Janardhan Rao Doppa