You can see all of our recorded events below as well as on our YouTube channel.  Please note that not all of our events are recorded. If you would like to be notified about our upcoming events, please contact to be added to our email list.


CAIDA Talk - February 29, 2024 - Pascal Poupart


CAIDA Talk - February 27, 2024 - Quanquan Gu


CAIDA Talk - February 26, 2024 - Sarath Chandar


CAIDA Talk - February 23, 2024 - Michael Bronstein


CAIDA Talk - February 21, 2024 - Hongyang Zhang



To watch CAIDA’s older videos, please follow the links below or check out our YouTube channel.  Please note that not all of our events are recorded. 


2023 Videos:

Name/Video LinkDateTalk Information
Young Min KimJune 23, 2023Reconstructing and Synthesizing 3D Scenes
Boyang Albert LiJune 26, 2023Multimodal AI in the Era of Gigantic Pretrained Language Models: Challenges and (Some) Remedies
Björn OmmerJune 23, 2023Generative AI, Stable Diffusion, and the Revolution in Visual Synthesis (PLAI Talk)
Qi LeiJuly 11, 2023Reconstructing Training Data from Model Gradient, Provably
Juan WachsOctober 11, 2023Gore Robots: From Blood and Guts to Bits and Bytes
Serena WangNovember 30, 2023Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry


2022 Videos:

Name/Video LinkDateTalk Information
Caroline UhlerMarch 1, 2022Causality and Autoencoders in the Light of Drug Repurposing for COVID-19
Jonathan HeringtonMarch 15, 2022Can We Save Affective Computing?
Tor AamodtMarch 18, 2022Faster Learning on Slow Hardware
Justin HartJune 21, 2022Getting Robots into Every Home and Workplace
Gautam KamathAugust 29, 2022Differentially Private Fine-tuning of Language Models
Kameron Decker HarrisSeptember 20, 2022Geometry of neural networks with biological structure


2021 Videos:

Name/Video LinkDateTalk Information
Hsuan Tien LinJanuary 14, 2021Active Learning by Learning
Richard (Hao) ZhangFebruary 22, 2021Learning Generative Models of 3D Shapes: From Implicit Functions to Structured Representations
Giacomo CalzolariMarch 15, 2021Algorithmic collusion with imperfect monitoring
Benjamin Bloem-ReddyMarch 31, 2021Invariance in machine learning methods: What, why, and then?
Marcus BrubakerApril 27, 2021Normalizing Flows in Theory and Practice
Virtual "Lab Tours"May 6, 2021CAIDA Open House 2021
Keynote: Trevor CampbellMay 6, 2021CAIDA Open House 2021
Keynote: Alla ShefferMay 6, 2021CAIDA Open House 2021
Panel DiscussionMay 6, 2021CAIDA Open House 2021
Hua Ki’i - A Prototype for Developing Ethical Indigenous AIMay 13, 2021Hua Ki’i - A Prototype for Developing Ethical Indigenous AI
Saeed GhadimiJune 7, 2021Nonconvex Stochastic Nested Optimization
Philippe PasquierJune 22, 2021Creative AI: on the partial or complete automation of creative tasks
Deepak PathakJuly 28, 2021Robots that Rapidly Adapt to Diverse Tasks and Environments
Marcus ArvanSeptember 16, 2021Artificial Moral Agency and the New Control Problem
Tal ArbelSeptember 21, 2021Modelling and Propagating Uncertainties in Machine Learning for Medical Images Acquired from Patients with Neurological Diseases
Sham KakadeSeptember 27, 2021The Provable Effectiveness of Policy Gradient Methods in Reinforcement Learning and Controls
Mark AnserminoOctober 5, 2021SMART QI- AI supported precision public health for sepsis in children
Philip NickelOctober 27, 2021Trust, discretion, and AI
Algorithmic Bias Panel DiscussionNovember 4, 2021Building an Ethical Algorithmic World
Max WellingNovember 16, 2021Deep learning for the Physical Sciences
Richard ZemelNovember 22, 2021Learning Novel Classes and Attributes While Wandering Within a World
Rogerio FerisNovember 30, 2021Computational Visual Pathways for Multi-Task Learning and Simulation


2020 Videos:

Name/Video LinkDateTalk Information
Aline TalhoukJanuary 24, 2020Large-scale federated and privacy-preserving Evaluation & Analysis Platform (LEAP)
Artificial Intelligence: The next decadeJanuary 30, 2020Artificial Intelligence: The next decade
Julian SavulescuFebruary 24, 2020The Ethics of Artificial Intelligence: Moral Machines
Ben ShneidermanMarch 2, 2020Human-Centered Artificial Intelligence: Trusted, Reliable and Safe
Martha WhiteJune 15, 2020Rethinking the Objective for Policy Optimization in Reinforcement Learning
Jason LeeJune 22, 2020Beyond Linearization in Neural Networks
Eldad HaberJuly 13, 2020Active learning and A-Optimal Experimental Design
Kyunghyun ChoJuly 20, 2020Inconsistency of a Recurrent Language Model: A Question I Forgot to Ask in 2014
Helge RhodinAugust 20, 2020Playing with Visual AI
Hugo LarochelleAugust 24, 2020Meta-Learning - A Roadmap for Few-Shot Transfer Learning
Naman AgarwalOctober 5, 2020The Non-Stochastic Control Framework
Pascal PoupartOctober 22, 2020Are we experiencing a technological singularity?
Jimmy BaOctober 23, 2020Intuitive Understanding of Generalization in Neural Networks
Daniel Roy and Jeffrey NegreaOctober 26, 2020In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
Marc G. BellemareNovember 18, 2020A tour of distributional reinforcement learning
Health StreamNovember 25, 2020Emerging Technologies: BC's AI Showcase
Manufacturing StreamNovember 25, 2020Emerging Technologies: BC's AI Showcase
Fundamental Science StreamNovember 25, 2020Emerging Technologies: BC's AI Showcase
Panel DiscussionNovember 25, 2020Emerging Technologies: BC's AI Showcase
Ke LiDecember 2, 2020Overcoming Mode Collapse and the Curse of Dimensionality
Molly Crocket, Jay Van Bavel, Regina RiniDecember 9, 2020The Psychological, Philosophical and Ethical Perils of Social Media: A Discussion


2019 Videos:

Name/Video LinkDateTalk Information
George DysonMarch 8, 2019Artificial Intelligence: From Analog to Digital and Back
Ben RechtMay 9, 2019The Merits of Models in Continuous Reinforcement Learning
Evan SelingerSeptember 23, 2019Banning Face Surveillance
Mark CrowleyNovember 4, 2019Machine Learning for Modelling and Decision Making in Complex Physical Domains
Colin FoxNovember 22, 2019Polynomial acceleration of Gibbs sampling (from probability distributions)
David DuvenaudDecember 6, 2019Neural Stochastic Differential Equations for Irregularly-Sampled Time Series
Graham TaylorDecember 6, 2019On Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation
Sergey LevineDecember 9, 2019Embodied Learning as a Path to Intelligent Machines
Mohamed H. ElhoseinyDecember 16, 2019Imagination Inspired Vision
Frank HutterDecember 16, 2019Recent Advances in Neural Architecture Search
Zachary Chase LiptonDecember 16, 2019Robust Deep Learning Under Distribution Shift
Will HamiltonDecember 16, 2019Graph Neural Networks and Graph Isomorphism
Alexander SchwingDecember 16, 2019Learning to Anticipate
Emtiyaz KhanDecember 16, 2019Learning-Algorithms from Bayesian Principle
N. SiddharthDecember 16, 2019 


2018 Videos:

Name/Video LinkDateTalk Information
Kieran R CampbellSeptember 26, 2018What Should I Measure Next? Expected Entropy of Posterior Search for Optimal Sequential Feature Acquisition
Kevin Leyton BrownOctober 25, 2018Economics and Computer Science of a Radio Spectrum Reallocation