BIRS Live Stream Schedule
Below is the schedule of 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.
Efficient and Reliable Deep Learning Methods and their Scientific Applications (Jun 22 to 27)
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 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
Wednesday June 25 between 09:30 and 10:00 MDT [2025-06-25T09:30:00.00-06:00]
Justin Sirignano of University of Oxford, Convergence Analysis of Neural Network Methods for Solving PDEs
Justin Sirignano of University of Oxford, Convergence Analysis of Neural Network Methods for Solving PDEs
Thursday June 26 between 10:30 and 11:00 MDT [2025-06-26T10:30:00.00-06:00]
Dario Coscia of SISSA, UvA, A Variational Bayesian Method for Sequence Models Predictions and Uncertainty Quantification
Dario Coscia of SISSA, UvA, A Variational Bayesian Method for Sequence Models Predictions and Uncertainty Quantification
Thursday June 26 between 11:00 and 11:30 MDT [2025-06-26T11:00:00.00-06:00]
Konstantinos Spiliopoulos of Boston University, Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
Konstantinos Spiliopoulos of Boston University, Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
Particulates across Scales: Mathematical Modeling, Computation, and Applications (Jul 6 to 11)
Monday July 7 between 17:05 and 17:30 MDT [2025-07-07T17:05:00.00-06:00]
Cyrus Aidun of Georgia Tech, Effect of inertia and elasticity on motion of non-spherical solid and deformable particles in shear flow: A dynamical systems perspective
Cyrus Aidun of Georgia Tech, Effect of inertia and elasticity on motion of non-spherical solid and deformable particles in shear flow: A dynamical systems perspective
Thursday July 10 between 09:10 and 09:35 MDT [2025-07-10T09:10:00.00-06:00]
Peng Gao of University of Science and Technology of China, Generation of microbubbles via a tapered capillary
Peng Gao of University of Science and Technology of China, Generation of microbubbles via a tapered capillary
Friday July 11 between 09:10 and 09:35 MDT [2025-07-11T09:10:00.00-06:00]
Sarah Hormozi of Cornell University, Designing Soft Matter with Tailored Yielding Behavior: Theory Meets Experiment
Sarah Hormozi of Cornell University, Designing Soft Matter with Tailored Yielding Behavior: Theory Meets Experiment
