BIRS Live Stream for: Efficient and Reliable Deep Learning Methods and their Scientific Applications
Next talk:
Zhiwen Zhang of The University of Hong Kong, DeepParticle: learning PDE dynamics by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
scheduled for Monday June 23 between 19:30 and 20:00 MDT [2025-06-23T19:30:00.00-06:00]
Upcoming Talks
Below are the next few upcoming talks, not necessarily those that will be broadcast. We encourage participants to record and broadcast their talks, but it is up to them to press the button.
Monday June 23 between 19:30 and 20:00 MDT [2025-06-23T19:30:00.00-06:00]
Zhiwen Zhang of The University of Hong Kong, DeepParticle: learning PDE dynamics by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
Zhiwen Zhang of The University of Hong Kong, DeepParticle: learning PDE dynamics by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
Monday June 23 between 20:00 and 20:30 MDT [2025-06-23T20:00:00.00-06:00]
Yunan Yang of Cornell University, Neural Inverse Operators for Solving PDE Inverse Problems
Yunan Yang of Cornell University, Neural Inverse Operators for Solving PDE Inverse Problems
Monday June 23 between 20:30 and 21:00 MDT [2025-06-23T20:30:00.00-06:00]
Tingwei Meng of UCLA, HJ-sampler: a Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton--Jacobi PDEs and score-based generative models
Tingwei Meng of UCLA, HJ-sampler: a Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton--Jacobi PDEs and score-based generative models
Tuesday June 24 between 09:30 and 10:00 MDT [2025-06-24T09:30:00.00-06:00]
Adam Oberman of McGill, AI risks and current approaches to AI safety
Adam Oberman of McGill, AI risks and current approaches to AI safety
Tuesday June 24 between 13:00 and 13:30 MDT [2025-06-24T13:00:00.00-06:00]
Patrick Guidotti of University of California, Irvine, Point Clouds Analysis via Kernel Interpolation and Approximate Kernel Interpolation
Patrick Guidotti of University of California, Irvine, Point Clouds Analysis via Kernel Interpolation and Approximate Kernel Interpolation
Tuesday June 24 between 19:30 and 20:00 MDT [2025-06-24T19:30:00.00-06:00]
Yuan Gao of Purdue University, Self-Test Loss Functions for Data-Driven Modeling of Weak-Form Operators
Yuan Gao of Purdue University, Self-Test Loss Functions for Data-Driven Modeling of Weak-Form Operators
Tuesday June 24 between 20:00 and 20:30 MDT [2025-06-24T20:00:00.00-06:00]
Yue Yu of Lehigh University, Nonlocal Attention Operator: Towards a Foundation Model for Physical Responses
Yue Yu of Lehigh University, Nonlocal Attention Operator: Towards a Foundation Model for Physical Responses
Tuesday June 24 between 20:30 and 21:00 MDT [2025-06-24T20:30:00.00-06:00]
Shuhao Cao of University of Missouri-Kansas City, Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Shuhao Cao of University of Missouri-Kansas City, Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
