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.

Upcoming Events

SeminarRandomized Asymmetric Chain of LoRA - Grigory Malinovsky, PhD student, King Abdullah University
July 21, 2025
SeminarBridge theory and practice: One-step full gradient could suffice for low-rank fine-tuning in LLMs, provably and efficiently - Fanghui Liu, Assistant Professor, Warwick University
July 21, 2025
SeminarLearning to Unlearn: Robust and Efficient Machine Unlearning for Large Foundation Models - Moontae Lee, Assistant Professor, University of Illinois Chicago
July 15, 2025
SeminarExploring Trustworthy Foundation Models: Benchmarking, Finetuning and Reasoning - Bo Han, Associate Professor, Hong Kong Baptist University
July 15, 2025

Past Events

SeminarExploring the Generative Utilities of Quantum Differential Equation Solvers - Pooya Ronagh, Research Assistant Professor, University of Waterloo, Chief Technology Officer at 1QBit
June 24, 2025
SeminarCausal Inference with Unstructured Data - Yixin Wang, Assistant Professor, University of Michigan
March 4, 2025
SeminarContrastive Learning for ML-guided MIP search - Bistra Dilkina, Associate Professor, University of Southern California
December 16, 2024
SeminarGenerative World Modeling for Embodied Agents - Sherry Yang, Assistant Professor, NYU
December 16, 2024
SeminarHighly Accurate Predictions on Small Data with the Tabular Foundation Model TabPFN - Frank Hutter, Professor, University of Freiburg
December 16, 2024
SeminarEfficient Fine-tuning via Model Reprogramming - Feng Liu, Assistant Professor, University of Melbourne
December 16, 2024
SeminarAdvancing Multimodal Vision-Language Learning - Aishwarya Agrawal, Assistant Professor, University of Montreal
December 16, 2024
SeminarPredicting human decisions with behavioral theories and machine learning - Ori Plonsky, Assistant Professor, Technion-Israel Institute of Technology
December 16, 2024
SeminarLLM Processes: Numerical Predictive Distributions Conditioned on Natural Language - James Requeima, Postdoctoral Fellow, University of Toronto
December 16, 2024
SeminarTuning Free (inference time) Alignment of Large Language Models - Amrit Singh Bedi, Assistant Professor, University of Central Florida
December 16, 2024
SeminarStochastic Approximation Algorithms with Decision-Dependent Data: The Case of Performative Prediction - Hoi-To Wai, Assistant Professor, CUHK
December 13, 2024
SeminarRecent Development of Generative AI Focused on Computer Vision - Dongjun Kim, Postdoctoral Scholar, Stanford University
December 9, 2024
SeminarEntropy-regularized optimal transport and its connection with score estimation - Soumik Pal, Professor, University of Washington
November 25, 2024
SeminarUsing Algorithms to Understand Transformers (and Using Transformers to Understand Algorithms) - Vatsal Sharan, Assistant Professor, University of Southern California
December 6, 2024
SeminarWhen Should Reinforcement Learning Use Causal Reasoning? - Oliver Schulte, Professor, Simon Fraser University
November 18, 2024
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