1. Prediction and Estimation of Human Motion using Generative-Adversarial Network Open Access Author: Subbakrishna Adishesha, Amogh Title: Prediction and Estimation of Human Motion using Generative-Adversarial Network Graduate Program: Electrical Engineering Keywords: GANsLSTMMotion PredictionDeep LearningNeural NetworksAIPrediction Error File: Download PS-Thesis-AmoghFinal.pdf Committee Members: Robert Collins, Thesis Advisor/Co-AdvisorDavid Jonathan Miller, Committee MemberMehdi Kiani, Committee Member
2. Neural Temporal Models for Human Motion Prediction Open Access Author: Gopalakrishnan, Anand Title: Neural Temporal Models for Human Motion Prediction Graduate Program: Electrical Engineering Keywords: Motion PredictionRecurrent Neural NetworksDeep LearningMotion SynthesisHuman Motion Evaluation File: Download Anand_masters_thesis_eTD_final_version.pdf Committee Members: David Jonathan Miller, Thesis Advisor/Co-AdvisorClyde Lee Giles, Thesis Advisor/Co-AdvisorMinghui Zhu, Committee Member
3. Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks Open Access Author: Schuessler, Joseph Title: Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks Graduate Program: Electrical Engineering (MS) Keywords: Adversarial AttacksData PoisoningRecurrent Neural NetworksLSTMDeep LearningMachine Learning File: Download SchuesslerThesis.pdf Committee Members: Kultegin Aydin, Program Head/ChairDavid Jonathan Miller, Thesis Advisor/Co-AdvisorGeorge Kesidis, Committee MemberCarina Pamela Curto, Committee Member
