15 November 2024, Brooklyn, NY
[UPDATE] Venue: 5 MetroTech Center, 1st Fl, 145 Pfizer Auditorium
This workshop at 2024 ACM International Conference on AI in Finance (ICAIF'24) will delve into the recent advancements and future directions in foundation models for time series analysis, emphasizing their applications in financial services. The scope includes AI techniques like deep learning and advanced statistical methods, aiming to enhance forecasting accuracy, adapt to dynamic data landscapes, and address the computational and ethical challenges associated with these models.
Advances in foundation models for time series forecasting, prediction anomaly detection, and classification.
Financial forecasting, risk management, and algorithmic trading applications.
Deployment challenges in real-world scenarios.
Interpretability and explainability in time series analysis.
Novel datasets and benchmarks for foundation models.
Cross-disciplinary approaches integrating finance, statistics, and AI.
Submission Deadline: 11 October 2024 23:59 AOE
Notification of Acceptance: 18 October 2024 23:59 AOE
Camera-Ready Submission: 5 November 2024 23:59 AOE
Workshop Date: 15 November 2024
Andrew Gordon Wilson is an Associate Professor at the Courant Institute of Mathematical Sciences and Center for Data Science at NYU. Prof. Wilson wishes to develop a prescriptive foundation for building intelligent autonomous systems, with work involving Bayesian inference, distribution shifts, scientific discovery, and generalization in deep learning. He has been Workshop Chair, Tutorial Chair, EXPO Chair, and Senior Area Chair for major machine learning conferences, and has received numerous awards, including the NSF CAREER Award, the Amazon Research Award, and best paper, reviewer, area chair, and dissertation awards.
Dr. James Zhang is the Managing Director of AI Prediction and Strategy Platform of Ant Group. Dr. Zhang obtained his Ph.D. degree from Univ. of Ottawa, Canada in Electrical Engineering, and both his Master’s and Bachelor degrees from Zhejiang Univ., China. Before he joined Ant Financial, Dr. Zhang worked on finance-related AI at Bloomberg, helped setting up the AI branch of Bloomberg Labs and initiating the GPU computation farm of Bloomberg. Dr. Zhang worked in various areas including image processing, natural language processing, pattern recognition, high-speed hardware development, optical networks, operations research, biometrics, and financial systems.