Janardhan Rao (Jana) Doppa
Washington State University
H-index: 31
North America-United States
Top articles of Janardhan Rao (Jana) Doppa
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Offline Model-Based Optimization via Policy-Guided Gradient Search | Proceedings of the AAAI Conference on Artificial Intelligence | Yassine Chemingui Aryan Deshwal Trong Nghia Hoang Janardhan Rao Doppa | 2024/3/24 |
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators | arXiv preprint arXiv:2401.10522 | Pratyush Dhingra Chukwufumnanya Ogbogu Biresh Kumar Joardar Janardhan Rao Doppa Ananth Kalyanaraman | 2024/1/19 |
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) | Alaleh Ahmadianshalchi Syrine Belakaria Janardhan Rao Doppa | 2024/1/4 | |
AgAID Institute—AI for agricultural labor and decision support | AI Magazine | Alan Fern Margaret Burnett Joseph Davidson Janardhan Rao Doppa Paola Pesantez‐Cabrera | 2024 |
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization | Proceedings of the AAAI Conference on Artificial Intelligence | Syrine Belakaria Alaleh Ahmadianshalchi Janardhan Rao Doppa | 2024/3/24 |
Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | Ching-Yuan Chen Biresh Kumar Joardar Janardhan Rao Doppa Partha Pratim Pande Krishnendu Chakrabarty | 2024/3/4 |
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads | arXiv preprint arXiv:2403.19073 | Harsh Sharma Gaurav Narang Janardhan Rao Doppa Umit Ogras Partha Pratim Pande | 2024/3/28 |
Gauche: A library for Gaussian processes in chemistry | arXiv preprint arXiv:2212.04450 | Ryan-Rhys Griffiths Leo Klarner Henry B Moss Aditya Ravuri Sang Truong | 2022/12/6 |
Improving uncertainty quantification of deep classifiers via neighborhood conformal prediction: Novel algorithm and theoretical analysis | Subhankar Ghosh Taha Belkhouja Yan Yan Janardhan Rao Doppa | 2023/3/19 | |
Bayesian optimization over iterative learners with structured responses: A budget-aware planning approach | Syrine Belakaria Janardhan Rao Doppa Nicolo Fusi Rishit Sheth | 2023/4/11 | |
Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach | Dina Hussein Taha Belkhouja Ganapati Bhat Janardhan Rao Doppa | 2023/8/7 | |
Black-Box Gradient Matching for Reliable Offline Black-Box Optimization | Minh Hoang Azza Fadhel Aryan Deshwal Jana Doppa Trong Nghia Hoang | 2023/10/13 | |
Data-driven activity prediction | 2023/1/10 | ||
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC | Chukwufumnanya Ogbogu Mohapatra Soumen Biresh Kumar Joardar Janardhan Rao Doppa Deuk Heo | 2023/8/7 | |
Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors | Ching-Yuan Chen Biresh Kumar Joardar Janardhan Rao Doppa Partha Pratim Pande Krishnendu Chakrabarty | 2023/5/22 | |
Class-Conditional Conformal Prediction for Imbalanced Data via Top- Classes | Yuanjie Shi SUBHANKAR GHOSH Taha Belkhouja Jana Doppa Yan Yan | 2023/10/13 | |
Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations | Digital Discovery | Nickolas Gantzler Aryan Deshwal Janardhan Rao Doppa Cory M Simon | 2023 |
Achieving datacenter-scale performance through chiplet-based manycore architectures | Harsh Sharma Sumit K Mandal Janardhan Rao Doppa Umit Ogras Partha Pratim Pande | 2023/4/17 | |
Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems | Gaurav Narang Raid Ayoub Michael Kishinevsky Janardhan Rao Doppa Partha Pratim Pande | 2023/8/7 | |
Machine Learning for Heterogeneous Manycore Design | Biresh Kumar Joardar Janardhan Rao Doppa Partha Pratim Pande | 2023/10/10 |
Co-Authors
