At RBC Borealis, we are on a mission to revolutionize finance through world-class AI research, solutions and a resilient data platform.
RBC Borealis is in Vancouver for The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS) from December 10-15, 2024. We are proud to be back at this year’s conference as a silver sponsor.
Visit us on the expo floor to explore our latest research and meet our world-class team of researchers, engineers, data architects and product experts. At our booth you’ll hear about the research behind our accepted papers and discover how we’re transforming finance through world-class AI.
RBC Borealis @ #NeurIPS2024
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Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models.
RBC Borealis’s paper by Sadegh Mahdavi, Raquel Aoki, Keyi Tang, and Yanshuai Cao has been accepted to NeurIPS 2024.
🗓️ Friday, December 13th
🕚 11:00am — 2:00pm PT
📍 East Exhibit Hall A-C #2906 -
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction.
RBC Borealis’s paper by Zichao Li, Yanshuai Cao, and Jackie C.K. Cheung has been accepted to NeurIPS 2024.
🗓️ Friday, December 13th
🕚 11:00am — 2:00pm PT
📍 East Exhibit Hall A-C #3307 -
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models.
RBC Borealis’s paper by Wei Pang, Masoumeh Shafieinejad, Lucy Liu, Stephanie Hazlewood, and Xi He has been accepted to NeurIPS 2024.
🗓️ Friday, December 13th
🕚 11:00am — 2:00pm PT
📍 East Exhibit Hall A-C #2709
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NeuZip: Memory-Efficient Training and Inference with Dynamic Compression for Neural Networks at the Workshop on Efficient Natural Language and Speech Processing.
This workshop will focus on how to make large language and foundation models more efficient in terms of Architecture, Training, and Inference in their real-world applications.
🗓️ Saturday, December 14th
🕚 8:15am — 5:30pm PT
📍 West Meeting Room 301 -
Self-Supervised Pretext Tasks for Event Sequence Data from Detecting Misalignment at the Workshop on Self-Supervised Learning: Theory and Practice.
This workshop will explore the theoretical bases of empirically successful SSL methods and to discuss how these theoretical insights could further enhance SSL’s practical performance.
🗓️ Saturday, December 14th
🕚 8:15am — 5:30pm PT
📍 West Meeting Room 202 — 204 -
Unsupervised Event Outlier Detection in Continuous Time at the Workshop on Self-Supervised Learning: Theory and Practice.
This workshop will explore the theoretical bases of empirically successful SSL methods and to discuss how these theoretical insights could further enhance SSL’s practical performance.
🗓️ Saturday, December 14th
🕚 8:15am — 5:30pm PT
📍 West Meeting Room 202 — 204
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Inference, Fast and Slow: Reinterpreting VAEs for OOD Detection at the Workshop on Safe Generative AI.
This workshop aims to convene experts from various fields to address the challenges and safety concerns of generative AI models and explore potential solutions.
🗓️ Sunday, December 15th
🕚 8:15am — 5:30pm PT
📍 East Exhibition Hall A -
Identifying and Addressing Delusions for Target-Directed Decision-Making at the Workshop on Safe Generative AI.
This workshop aims to convene experts from various fields to address the challenges and safety concerns of generative AI models and explore potential solutions.
🗓️ Sunday, December 15th
🕚 8:15am — 5:30pm PT
📍 East Exhibition Hall A -
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling at the Workshop on Time Series in the Age of Large Models.
This workshop aims to provide a forum for researchers and practitioners to understand the progress made and push the frontier of time series research in the era of large models.
🗓️ Sunday, December 15th
🕚 8:15am — 5:30pm PT
📍 West Meeting Room 220 — 222
RBC Borealis is committed to nurturing research and engineering talent from Canada’s leading universities. We partner with top-tier academic institutions around the world to collaborate on research efforts, including co-authoring papers at NeurIPS 2024.
Explore our 2024 NeurIPS publications
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Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Z. Li, Y. Cao, and J. C.K. Cheung. Conference on Neural Information Processing Systems (NeurIPS), 2024
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ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
W. Pang, M. Shafieinejad, L. Liu, S. Hazlewood, and X. He. Conference on Neural Information Processing Systems (NeurIPS), 2024
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Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models
Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models
S. Mahdavi, R. Aoki, K. Tang, and Y. Cao. Conference on Neural Information Processing System (NeurIPS), 2024
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Unsupervised Event Outlier Detection in Continuous Time
Unsupervised Event Outlier Detection in Continuous Time
S. Nath, K. Y. C. Lui, and S. Liu. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
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LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
C. Chen, G. Oliveira, H. Sharifi, and T. Sylvain. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
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Inference, Fast and Slow: Reinterpreting VAEs for OOD Detection
Inference, Fast and Slow: Reinterpreting VAEs for OOD Detection
S. Huang, J. He, and K. Y. C. Lui. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
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NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Y. Hao, Y. Cao, and L. Mou. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
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Identifying and Addressing Delusions for Target-Directed Decision-Making
Identifying and Addressing Delusions for Target-Directed Decision-Making
M. Zhao, T. Sylvain, D. Precup, and Y. Bengio. Workshop at Conference on Neural Information Processing System (NeurIPS), 2024
Find us at booth 208! 👋
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of world-class scientists, engineers, and architects dedicated to transforming finance.
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Dr. Greg Mori
VP, RBC Fellow
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Yanshuai Cao
Senior Director Research, RBC Borealis | Distinguished Engineer
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Jaime Trivino
Senior Talent Acquisition Lead
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Raquel Aoki
Sr. Machine Learning Researcher
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Hossein Sharifi-Noghabi
Machine Learning Researcher
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Huyen Mori
Early Talent Generalist
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Keyi Tang
Sr. Research Engineer
RBC Borealis is proud to be a bronze sponsor of the 19th annual Women in Machine Learning (WiML) Workshop. The Workshop is co-located with NeurIPS on December 10th, 2024 at the Vancouver Convention Center.
News
Unveiling RBC Borealis: Driving innovation in AI & data
RBC Borealis, a group that brings together world-leading AI research and unparalleled expertise in data, AI, data science, engineering, and product development.
Blog
Pre-training multi-billion parameter LLMs on a single GPU with Flora
First, we show how to incorporate Flora into code. Second, we give a high-level overview of how Flora works. Third, we provide benchmark training results. Finally, we compare Flora to the subsequent and closely related GaLore method.
You’re invited to Vancouver AI Connect!
Join us in our Vancouver lab for engaging keynotes from professionals in the machine learning community, light refreshments, a poster session and the opportunity to connect with our top researchers and engineers.
RSVP todayYou’re invited to Vancouver AI Connect!
Join us in our Vancouver lab for engaging keynotes from professionals in the machine learning community, light refreshments, a poster session and the opportunity to connect with our top researchers and engineers.
RSVP todayStay up-to-date with all things #NeurIPS2024 💬
Don’t miss out on insightful content, cutting-edge research, and exciting highlights from this leading conference.
Follow us on LinkedInStay up-to-date with all things #NeurIPS2024 💬
Don’t miss out on insightful content, cutting-edge research, and exciting highlights from this leading conference.
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