Schedule for: 25w5381 - Uncertainty Quantification in Neural Network Models

Beginning on Sunday, February 16 and ending Friday February 21, 2025

All times in Banff, Alberta time, MST (UTC-7).

Sunday, February 16
16:00 - 17:30 Check-in begins at 16:00 on Sunday and is open 24 hours (Front Desk - Professional Development Centre)
17:30 - 19:30 Dinner
A buffet dinner is served daily between 5:30pm and 7:30pm in Vistas Dining Room, top floor of the Sally Borden Building.
(Vistas Dining Room)
20:00 - 22:00 Informal gathering
Meet & Greet at the BIRS Lounge (PDC 2nd Floor)
(Other (See Description))
Monday, February 17
07:00 - 08:45 Breakfast
Breakfast is served daily between 7 and 9am in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
08:45 - 09:00 Introduction and Welcome by BIRS Staff
A brief introduction to BIRS with important logistical information, technology instruction, and opportunity for participants to ask questions.
(TCPL 201)
09:00 - 10:00 Ben Adcock: Can uncertainty be quantified? On confident hallucinations in deep learning-based methods for inverse problems (TCPL 201)
10:00 - 10:30 Coffee Break (TCPL Foyer)
10:30 - 11:30 Bin YU: Veridical data science and Predictability, Computability, and Stability uncertainty quantification (Online)
11:30 - 13:00 Lunch
Lunch is served daily between 11:30am and 1:30pm in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
13:00 - 14:30 Khachik Sargsyan: Tutorial: Uncertainty Quantification in Computational Science: from Physical Models to Neural Networks (TCPL 201)
14:30 - 15:00 Coffee Break (TCPL Foyer)
17:30 - 19:30 Dinner
A buffet dinner is served daily between 5:30pm and 7:30pm in Vistas Dining Room, top floor of the Sally Borden Building.
(Vistas Dining Room)
19:30 - 21:00 Romit Maulik: Tutorial: Neural Architecture Search and Deep Ensembles based UQ with DeepHyper (Online)
Tuesday, February 18
07:00 - 08:45 Breakfast
Breakfast is served daily between 7 and 9am in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
08:45 - 09:00 Setup (TCPL 201)
09:00 - 10:00 James-A. Goulet: TAGI: Analytically Tractable UQ in Bayesian Neural Networks (TCPL 201)
10:00 - 10:30 Coffee Break (TCPL Foyer)
10:30 - 11:30 Michael Mahoney: Model Selection And Ensembling When There Are More Parameters Than Data (Online)
11:30 - 13:00 Lunch
Lunch is served daily between 11:30am and 1:30pm in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
13:00 - 14:30 Assad Oberai: Breakout discussion: Analysis, Applications, and Extensions of Diffusion-Based Generative Models (TCPL 201)
14:30 - 15:00 Coffee Break (TCPL Foyer)
14:30 - 14:40 Group Photo
Meet in foyer of TCPL to participate in the BIRS group photo. The photograph will be taken outdoors, so dress appropriately for the weather. Please don't be late, or you might not be in the official group photo!
(TCPL Foyer)
15:00 - 16:30 Somdatta Goswami: Breakout discussion: Scalable Surrogate Models for High-Dimensional Physics-based Systems (Online)
15:00 - 16:30 Michael Shields: Breakout discussion: Recent developments and future opportunities in Bayesian Neural Networks (TCPL 202)
16:30 - 17:30 Networking (TCPL Lounge)
17:30 - 19:30 Dinner
A buffet dinner is served daily between 5:30pm and 7:30pm in Vistas Dining Room, top floor of the Sally Borden Building.
(Vistas Dining Room)
19:30 - 21:00 Krishna Garikipati: Tutorial: Bayesian neural networks for learning and solving PDEs with variational inference (TCPL 202)
19:30 - 21:00 Jian-Xun Wang: Tutorial: Generative diffusion models: Fundamentals and applications to forward and inverse modeling of complex physical systems (TCPL 201)
Wednesday, February 19
07:00 - 08:45 Breakfast
Breakfast is served daily between 7 and 9am in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
08:45 - 09:00 Setup (TCPL 201)
09:00 - 10:00 Yan Liu: Frontiers of Foundation Models for Time Series (Online)
10:00 - 10:30 Coffee Break (TCPL Foyer)
10:30 - 11:30 Yue Yu: Early career panel (TCPL 201)
11:30 - 13:00 Lunch
Lunch is served daily between 11:30am and 1:30pm in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
13:00 - 17:30 Free Afternoon (Banff National Park)
17:30 - 19:30 Dinner
A buffet dinner is served daily between 5:30pm and 7:30pm in Vistas Dining Room, top floor of the Sally Borden Building.
(Vistas Dining Room)
19:30 - 21:00 Wenjing Liao: Tutorial: Exploiting Low-Dimensional Data Structures in Deep Learning (TCPL 202)
19:30 - 21:00 Audrey Olivier: Tutorial: A tutorial on Bayesian neural networks: from physics-informed priors to posterior inference (TCPL 201)
Thursday, February 20
07:00 - 08:45 Breakfast
Breakfast is served daily between 7 and 9am in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
08:45 - 09:00 Setup (TCPL 201)
09:00 - 10:00 Mohammad Emtiyaz Khan: Uncertainty in deep learning through sensitivity (TCPL 201)
10:00 - 10:30 Coffee Break (TCPL Foyer)
10:30 - 11:30 Roni Khardon: Bayesian UQ from the perspective of Risk Minimization (TCPL 201)
11:30 - 13:00 Lunch
Lunch is served daily between 11:30am and 1:30pm in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
13:00 - 14:30 Jakob Heiss: Breakout discussion: Inductive Bias of Neural Networks (TCPL 201)
14:30 - 15:00 Coffee Break (TCPL Foyer)
15:00 - 16:00 Habib Najm: Lightning poster talks (TCPL 201)
16:00 - 17:30 Poster session (TCPL Foyer)
17:30 - 19:30 Dinner
A buffet dinner is served daily between 5:30pm and 7:30pm in Vistas Dining Room, top floor of the Sally Borden Building.
(Vistas Dining Room)
19:30 - 21:00 Paul Bogdan: Tutorial: Complexity, Trustworthiness and Uncertainty Quantification in Artificial Intelligence (AI) Models (TCPL 201)
Friday, February 21
07:00 - 08:45 Breakfast
Breakfast is served daily between 7 and 9am in the Vistas Dining Room, the top floor of the Sally Borden Building.
(Vistas Dining Room)
08:45 - 09:00 Setup (TCPL 201)
09:00 - 10:00 Rose Yu: Deep Uncertainty Quantification for Dynamics Learning and Decision-Making (Online)
10:00 - 10:30 Coffee Break (TCPL Foyer)
10:30 - 11:00 Checkout by 11AM
5-day workshop participants are welcome to use BIRS facilities (TCPL ) until 3 pm on Friday, although participants are still required to checkout of the guest rooms by 11AM.
(Front Desk - Professional Development Centre)
11:00 - 12:00 Networking (Online)
12:00 - 13:30 Lunch from 11:30 to 13:30 (Vistas Dining Room)