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1
Computational Complexity and Quantum Gibbs Sampling for Local Hamiltonians
Computational Complexity and Quantum Gibbs Sampling for Local Hamiltonians
Jiang, Jiaqing. | California Institute of Technology | 2025
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2
Through the Recurrent Neural Network Looking Glass: Structure-Function Relationships in Cortical Circuits for Predictive Coding
Through the Recurrent Neural Network Looking Glass: Structure-Function Relationships in Cortical Circuits for Predictive Coding
Balwani, Aishwarya. | Georgia Institute of Technology | 2025
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3
Learning Representations Toward the Understanding of Out-Of-Distribution for Neural Networks
Learning Representations Toward the Understanding of Out-Of-Distribution for Neural Networks
Kwon, Gukyeong. | Georgia Institute of Technology | 2021
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4
Physics Inspired AI-Driven Photonic Inverse Design for High-Performance Photonic Devices
Physics Inspired AI-Driven Photonic Inverse Design for High-Performance Photonic Devices
Yesilurt, Omer. | Purdue University | 2024
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5
Structure and Function in Neural Networks
Structure and Function in Neural Networks
de Fontenay, Gabriel Carreira Mel. | Stanford University | 2024
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6
Beyond Partisanship: Political Identities in Comparative Perspective
Beyond Partisanship: Political Identities in Comparative Perspective
de la Cerda Coya, Nicolas. | The University of North Carolina at Chapel Hill | 2024
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7
Undergraduate Writing Pedagogy in an era of Digital Ubiquity
Undergraduate Writing Pedagogy in an era of Digital Ubiquity
Eldin, Addison. | University of Pittsburgh | 2024
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8
Effective Differentially Private Deep Learning
Effective Differentially Private Deep Learning
Li, Xuechen. | Stanford University | 2024
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9
Deciding What to Learn in Complex Environments
Deciding What to Learn in Complex Environments
Arumugam, Dilip Srimal. | Stanford University | 2024
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10
Geometric Learning of Biomolecular Structure- [electronic resource]
Geometric Learning of Biomolecular Structure- [electronic resource]
Townshend, Raphael John Lamarre. | Stanford University. | 2021
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