Colloquium
- 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, University of Colorado BoulderFast 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
- Philip Stark; Department of Statistics; University of California, BerkeleyEvidence-Based ElectionsElections rely on people, hardware, and software, all of which are fallible and subject to manipulation. Well resourced nation-states continue to
- Jeffrey Pennington, Research Scientist, Google BrainDemystifying deep learning through high-dimensional statisticsAs deep learning continues to amass ever more practical success, its novelty has slowly faded, but a sense of mystery persists and we
- Esteban Real, Software Engineer, Google BrainEvolving Machine Learning AlgorithmsThe effort devoted to hand-crafting machine learning (ML) models has motivated the use of automated methods. These methods, collectively known as AutoML, can today