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个人简介
Her current research interests include continual lifelong learning, optimization algorithms for deep neural networks, sparse modelling and probabilistic inference, dialog generation, biologically plausible reinforcement learning, and dynamical systems approaches to brain imaging analysis. Before joining UdeM and Mila in 2019, she was a research scientist at the IBM T. J. Watson Research Center, where she worked on various projects at the intersection of neuroscience and AI, and led the Neuro-AI challenge. Dr. Rish holds 64 patents, has published over 80 research papers, several book chapters, three edited books, and a monograph on Sparse Modelling.
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论文共 236 篇作者统计合作学者相似作者
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AAAI Conference on Artificial Intelligencepp.35-40, (2024)
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Adam Ibrahim,Benjamin Thérien, Kshitij Gupta, Mats L. Richter,Quentin Anthony,Timothée Lesort,Eugene Belilovsky,Irina Rish
arxiv(2024)
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Sahil Garg,Anderson Schneider, Anant Raj,Kashif Rasul,Yuriy Nevmyvaka, Sneihil Gopal,Amit Dhurandhar,Guillermo Cecchi,Irina Rish
arxiv(2024)
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CoRR (2023)
arXiv (Cornell University) (2023)
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