Events

CAIDA proudly hosts events to engage and connect the BC AI community and beyond.  CAIDA has three ongoing seminar series: AI & Fundamentals, AI & Applications, and AI & Ethics; attracting more than 2000 attendees since September 2019.  CAIDA also hosts larger events: our first AI showcase "Emerging Technologies: BC's AI Showcase" was in November 2020 and had over 700 registrants, and CAIDA’s 2021 Open House had almost 200 registrants.  We look forward to hosting more events to help connect the AI community.  If you would like to be notified about our upcoming events, please contact admin@caida.ubc.ca to be added to our email list.

Past Events

SeminarEnsembles in the Age of Overparameterization: Promises and Pathologies - Geoff Pleiss, Assistant Professor, UBC
October 23, 2024
SeminarChanging Behaviour using AI and Experimentation: Applications in Education, Health Behaviour, Marketing, Website Design - Joseph Jay Williams, Assistant Professor, Computer Science, University of Toronto
September 20, 2024
SeminarEfficient and Long-Context GenAI Models - Sung Ju Hwang, KAIST Endowed Chair Professor, Kim Jaechul School of Artificial Intelligence and School of Computing at KAIST
June 26, 2024
SeminarChallenges and Opportunities with Multimodal LLMs - Vicente Ordóñez-Román, Associate Professor, Rice University
April 15, 2024
SeminarFrontiers in Embodied AI for Autonomous Driving - Jamie Shotton, Chief Scientist, Wayve
April 19, 2024
SeminarA Physical perspective on Graph Neural Networks - Michael Bronstein, Professor, University of Oxford
February 23, 2024
SeminarTowards Interpretable Deep Learning - Lily Weng, Assistant Professor, UC San Diego
February 26, 2024
SeminarSelf-Play Fine-Tuning Converts Weak Language Models to Strong Language Models - Quanquan Gu, Associate Professor, UCLA
February 27, 2024
SeminarMemory-augmented Optimizers for Deep Learning and Lifelong Learning - Sarath Chandar, Assistant Professor, Polytechnique Montreal
February 26, 2024
SeminarNew Advances in Safe and Efficient Large Language Models - Hongyang Zhang, Assistant Professor, University of Waterloo
February 21, 2024
SeminarInverse constraint learning and risk averse reinforcement learning for safe AI - Pascal Poupart, Professor, University of Waterloo
February 29, 2024
SeminarOperationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry - Serena Wang, PhD Student, UC Berkeley
November 30, 2023
SeminarAchieving Codec Telepresence - Michael Zollhoefer, Director, Reality Labs Research (RL-R), Meta
November 20, 2023
SeminarDiffusion Models: From Foundations to Image, Video and 3D Content Creation - Karsten Kreis, Senior Research Scientists, NVIDIA’s Toronto AI Lab
July 18, 2023
SeminarReconstructing Training Data from Model Gradient, Provably - Qi Lei, Assistant Professor, NYU
July 11, 2023
SeminarMultimodal AI in the Era of Gigantic Pretrained Language Models: Challenges and (Some) Remedies - Boyang Albert Li, Associate Professor, Nanyang Technological University
June 26, 2023
SeminarReconstructing and Synthesizing 3D Scenes - Young Min Kim, Associate Professor, Seoul National University
June 23, 2023
SeminarStatistical implications of group invariance of distributions - Peter Orbanz, Professor, University College London
April 20, 2023
SeminarDifferentially Private Fine-tuning of Language Models - Gautam Kamath, Assistant Professor, University of Waterloo
August 29, 2022
SeminarCausality and Autoencoders in the Light of Drug Repurposing for COVID-19 - Caroline Uhler, Associate Professor, MIT
March 1, 2022
SeminarLearning Novel Classes and Attributes While Wandering Within a World - Richard Zemel, Professor, University of Toronto
November 22, 2021
SeminarComputational Visual Pathways for Multi-Task Learning and Simulation - Rogerio Feris, Principal Scientist and Manager, MIT-IBM Watson AI Lab
November 30, 2021
SeminarDeep learning for the Physical Sciences - Max Welling, Professor, University of Amsterdam
November 16, 2021
SeminarTractable Probabilistic Reasoning for Trustworthy AI - YooJung Choi, Ph.D. candidate, UCLA
November 24, 2021
SeminarThe Provable Effectiveness of Policy Gradient Methods in Reinforcement Learning and Controls - Sham Kakade, Professor, University of Washington; Microsoft Research
September 27, 2021