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… and a core academic member of Mila – Quebec Artificial Intelligence Institute. She is also a Canada CIFAR AI … a focus on analyzing real-world interconnected data and social good applications. Canada CIFAR AI Chair Health … Aarash Feizi PhD - McGill University Co-supervisor : Adriana Romero Soriano feiziaar@mila.quebec Website Github …
… and a core academic member of Mila – Quebec Artificial Intelligence Institute. Mao obtained his PhD from the Department of Computer Science at Columbia University, under the supervision of Carl Vondrick and … and a core academic member of Mila – Quebec Artificial Intelligence Institute. Mao obtained his PhD from the …
… learning. Panangaden first studied physics at the Indian Institute of Technology in Kanpur. For his MSc in … of the Royal Society of Canada and Fellow of the Association for Computing Machinery (ACM), Panangaden has … learning. Panangaden first studied physics at the Indian Institute of Technology in Kanpur. For his MSc in …
… my PhD at Université de Montréal under the direction of Jian-Yun Nie, I investigated how to effectively represent … fields of unsupervised learning and few-shot learning, especially in NLP. Alessandro Professors Sordoni Core Industry … my PhD at Université de Montréal under the direction of Jian-Yun Nie, I investigated how to effectively represent …
… Environment and Energy Hanane Professors Dagdougui Associate Academic Member Associate Professor, Polytechnique Montréal, Department of Mathematical and Industrial Engineering Polytechnique Montréal Associate Professor …
… Tiago Salvador Stephanie Cairns Vikram Voleti Noah Marshall … being widely used, face recognition models suffer from bias: the probability of a false positive (i.e., of an … particularly when used by law enforcement. The majority of bias reduction methods have several drawbacks: they use an …
… to improve and optimize drug development clinical trials. Founded by graduate students out of University of … and accurate subject stratification for their clinical trials. Heterogeneity in patient populations creates challenges in enrolment for clinical trials, which can result in increased trial costs and …
… To understand this blog, we expect the reader to be familiar with recurrent neural networks and gradient descent learning via BPTT. Developing biologically-plausible learning rules is … searching for more efficient training strategies for artificial neural networks. However, generalization properties of …
… is a second-year PhD student at Mila, advised by Prof. Jian Tang. Her research passionately delves into the realm of … learning for biological data, to harness AI’s potential to advance understanding of biological systems and … transferability. From the technique perspective, she specializes in large-scale graph representation learning for …
… The new Chairs contribute diverse expertise to the Canadian ecosystem, from causality to natural language … national AI Institutes established through the Pan-Canadian AI Strategy in 2017. The ecosystem has grown substantially. In just a few short years, more than 30 international …