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Sanja Fidler, Department of Computer Science, University of Toronto; and Director of AI, NVIDIA corporationTowards AI for 3D Content Creation3D content is key in several domains such as architecture, film, gaming, and robotics. However, creating 3D

Ruslan Salakhutdinov, UPMC Professor of Computer Science, Department of Machine Learning, Carnegie Mellon UniversityIntegrating Domain-Knowledge into Deep Learning.In this talk I will first discuss deep learning models that can find semantically

Colin Raffel; Assistant Professor of Computer Science; University of North Carolina, Chapel Hill; and Staff Research Scientist, Google BrainT5 and large language models: The good, the bad, and the uglyT5 and other large pre-trained language

Stephen Kissler, Postdoctoral Fellow at Harvard T.H. Chan School of Public HealthSARS-CoV-2 across scalesMathematical models have provided key insights into SARS-CoV-2 dynamics at the global, local, and physiological scales. I will summarize some of

Marsha Berger; Silver Professor of Computer Science and Mathematics; Courant Institute of Mathematical Sciences, New York UniversityComputing Fluid Flows in Complex GeometryWe give an overview of the difficulties in simulating fluid flow in complex

Adrianna Gillman, Department of Applied Mathematics, Â鶹ӰԺFast algorithms group: Accurate, efficient and robust techniques for solving partial differential equationsPartial differential equations are often used to model

 APPM Department Colloquium - Joan BrunaJoan Bruna; Assistant Professor; Courant Institute of Mathematical Sciences, New York UniversityMathematical aspects of neural network approximation and learningHigh-dimensional learning remains an

Dumitru Erhan, Staff Research Scientist and Tech Lead Manager, Google Brain Enabling world models via unsupervised representation learning of environments.  In order to build intelligent agents that quickly adapt to new scenes,

Mingxing Tan, Staff Software Engineer, Google BrainAutoML for Efficient Vision Learning This talk will focus on a few recent progresses we have made on AutoML, particularly on neural architecture search for efficient convolutional neural

Kalesha Bullard, Postdoctoral Researcher, Facebook AI ResearchLearning through Interaction in Cooperative Multi-Agent SystemsEffective communication is an important skill for enabling information exchange and cooperation in multi-agent systems, in