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1
Variational Approaches to 3D Reconstruction from Multiple Depth Images
Variational Approaches to 3D Reconstruction from Multiple Depth Images
Yang, Huizong. | Georgia Institute of Technology | 2025
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2
Applications of New Materials Systems and Machine Learning Techniques for Compensation and Calibration of MEMS
Applications of New Materials Systems and Machine Learning Techniques for Compensation and Calibration of MEMS
Long, Yaoyao Emma. | Georgia Institute of Technology | 2024
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3
Complex Human Preferences for Embodied Agents
Complex Human Preferences for Embodied Agents
Srivastava, Sanjana. | Stanford University | 2025
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4
Transitional Information Extraction
Transitional Information Extraction
Benkert, Ryan. | Georgia Institute of Technology | 2024
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5
Representation Learning for Grounding Vision and Language in Hierarchical Robot Planning
Representation Learning for Grounding Vision and Language in Hierarchical Robot Planning
Xu, Ruinian. | Georgia Institute of Technology | 2025
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6
Machine Learning Approaches For Predicting Biological Function and Molecular Design
Machine Learning Approaches For Predicting Biological Function and Molecular Design
Nigam, Akshatkumar. | Stanford University | 2025
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7
Scheduling and Codesigning Machine Learning Models for GEMMs
Scheduling and Codesigning Machine Learning Models for GEMMs
Fu, Daniel Y. | Stanford University | 2025
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8
Leveraging Machine Learning for Enhancing Code Performance and Programming Productivity
Leveraging Machine Learning for Enhancing Code Performance and Programming Productivity
Ye, Fangke. | Georgia Institute of Technology | 2024
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9
High-Level Compiler Optimizations for Python Programs
High-Level Compiler Optimizations for Python Programs
Zhou, Tong. | Georgia Institute of Technology | 2024
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10
Stability and Efficiency in Multi-Agent Systems
Stability and Efficiency in Multi-Agent Systems
Crippa, Ludovico. | Stanford University | 2025
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