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EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress., , , , and . CODES+ISSS, page 4:1-4:2. ACM, (2019)Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN)., , , , , , , , , and . SoCC, page 394-399. IEEE, (2019)Graph Convolutional Neural Networks for Polymers Property Prediction., , , , , and . CoRR, (2018)Semi-Supervised Learning With GANs: Revisiting Manifold Regularization., , , and . ICLR (Workshop), OpenReview.net, (2018)Bayesian Deep Active Learning for Analog Circuit Performance Classification., , , , , , , , and . ISCAS, page 3018-3022. IEEE, (2022)Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks., , and . MDM, page 152. IEEE Computer Society, (2006)Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing., , , , , , , , and . CoRR, (2018)TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks., , , , , , and . CoRR, (2018)Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials., , , , , , , and . CoRR, (2018)Semi-Supervised Audio Classification with Consistency-Based Regularization., , , , and . INTERSPEECH, page 3654-3658. ISCA, (2019)