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Showing results 8 to 27 of 81 < previous next >

Issue Date	Title	Author(s)
2023	Bayesian Filtering for Neural Networks	Bencomo, Gianluca Michele
2019	Bayesian latent structure discovery for large-scale neural recordings	wu, anqi
2018	Combinatorial Inference for Large-Scale Data Analysis	Lu, Junwei
2025	Continual Multi-Disease Detection in Smart Healthcare Using Wearable Medical Sensors	Li, Chia-Hao
2022	Decision-Making with Non-Markovian Rewards: Multi-Agent Learning and Applications to Medical Diagnostics	Yu, Zheng
2023	Deep Learning for Automated Theorem Proving	Wang, Mingzhe
2024	Designing Efficient Clinical Randomized Controlled Trials with Limited Data using Artificial Intelligence	Lala, Sayeri
2024	Exploring Reasoning and Interactive Benchmarking of Language Models	Prabhakar, Akshara
2016	Extracting Cognition out of Images for the Purpose of Autonomous Driving	Chen, Chenyi
2023	From mind to machine: neural circuits, learning algorithms, and beyond	Yang, Runzhe
2022	Generalization of Deep Neural Networks in Supervised Learning, Generative Modeling, and Adaptive Data Analysis	Zhang, Yi
2022	Generating invariant representations with cortex-inspired models of unsupervised learning	Luther, Kyle
2022	Geometric and Dynamic Neural Codes of Sensory, Memory and Prediction	Libby, Alexandra
2023	Gradient-Based Shape Optimization for Engineering Using Machine Learning	Sun, Xingyuan
2024	Grounding Communication in Real-World Action	Sumers, Theodore
2012	Hierarchical Bayesian Modeling: Efficient Inference and Applications	Wang, Chong
2017	Integrating Exponential Dispersion Models to Latent Structures	Basbug, Mehmet Emin
2023	Interpretable Machine Learning for the Physical Sciences	Cranmer, Miles Donald
2023	Investigating Persuasiveness in Large Language Models	Ekpo, Promise Osaine
2024	Language Agents: From Next-Token Prediction to Digital Automation	Yao, Shunyu

Showing results 8 to 27 of 81 < previous next >