CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning von Wilson, Garrett, Doppa, Janardhan Rao, Cook, Diane J.

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Dynamic Time Warping Based Adversarial Framework for Time-Series Domain von Belkhouja, Taha, Yan, Yan, Doppa, Janardhan Rao

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Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features von Belkhouja, Taha, Doppa, Janardhan Rao

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AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture von Joardar, Biresh Kumar, Doppa, Janardhan Rao, Pande, Partha Pratim, Li, Hai, Chakrabarty, Krishnendu

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Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization von Belakaria, Syrine, Deshwal, Aryan, Doppa, Janardhan Rao

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Analyzing Deep Learning for Time-Series Data Through Adversarial Lens in Mobile and IoT Applications von Belkhouja, Taha, Doppa, Janardhan Rao

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Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3-D Small-World Network-on-Chip von Das, Sourav, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu

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On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems von Wonje Choi, Duraisamy, Karthi, Kim, Ryan Gary, Doppa, Janardhan Rao, Pande, Partha Pratim, Marculescu, Diana, Marculescu, Radu

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Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications von Minor, Bryan David, Doppa, Janardhan Rao, Cook, Diane J.

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Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems von Joardar, Biresh Kumar, Kim, Ryan Gary, Doppa, Janardhan Rao, Pande, Partha Pratim, Marculescu, Diana, Marculescu, Radu

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High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers von Joardar, Biresh Kumar, Deshwal, Aryan, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu

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Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures von Arka, Aqeeb Iqbal, Joardar, Biresh Kumar, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu

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Dynamic Resource Management of Heterogeneous Mobile Platforms via Imitation Learning von Mandal, Sumit K., Bhat, Ganapati, Patil, Chetan Arvind, Doppa, Janardhan Rao, Pande, Partha Pratim, Ogras, Umit Y.

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Bayesian optimization of nanoporous materials von Deshwal, Aryan, Simon, Cory M, Doppa, Janardhan Rao

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ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems von Yang, Xiaoxuan, Yang, Huanrui, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabartys, Krishnendu, Li, Hai

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Trading-Off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach von Jayakodi, Nitthilan Kannappan, Chatterjee, Anwesha, Choi, Wonje, Doppa, Janardhan Rao, Pande, Partha Pratim

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SWAP: A Server-scale Communication-aware Chiplet-based Manycore PIM Accelerator von Sharma, Harsh, Mandal, Sumit K., Doppa, Janardhan Rao, Ogras, Umit Y., Pande, Partha Pratim

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Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis von Kim, Ryan Gary, Doppa, Janardhan Rao, Pande, Partha Pratim, Marculescu, Diana, Marculescu, Radu

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Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks von Chen, Ching-Yuan, Joardar, Biresh Kumar, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu

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Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet von Ogbogu, Chukwufumnanya, Arka, Aqeeb Iqbal, Joardar, Biresh Kumar, Doppa, Janardhan Rao, Li, Hai, Chakrabarty, Krishnendu, Pande, Partha Pratim

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