Publications

• Scaling Point-in-Time Language Models (2026) [paper][code]
  Bryan Kelly, Semyon Malamud, Johannes Schwab, Teng Andrea Xu.
  Swiss Finance Institute Research Paper No. 26-37.

• Training NTK to Generalize with KARE (2025) [paper]
  Johannes Schwab, Bryan Kelly, Semyon Malamud, Teng Andrea Xu.
  arXiv preprint: 2505.11347.

• Artificial Intelligence Asset Pricing Models (2025) [paper]
  Bryan Kelly, Boris Kuznetsov, Semyon Malamud, Teng Andrea Xu.
  NBER Working Paper No. 33351.

• Deep Learning from Implied Volatility Surfaces (2023) [paper]
  Bryan Kelly, Boris Kuznetsov, Semyon Malamud, Teng Andrea Xu.
  Journal of Investment Management (JOIM).

• A Simple Algorithm For Scaling Up Kernel Methods (2023) [paper][code]
  Teng Andrea Xu, Bryan Kelly, Semyon Malamud.
  arXiv preprint: 2301.11414.

• Tail Recovery (2024) [paper]
  Teng Andrea Xu.
  Journal of Financial Data Science, 6(3), 115-146.

• Benign Autoencoders (2022) [paper]
  Semyon Malamud, Teng Andrea Xu, Antoine Didisheim.
  arXiv preprint: 2210.00637.

• A Framework for DAO Token Valuation (2022) [paper]
  Kristof Lommers, Jiahua Xu, Teng Andrea Xu.
  Available at SSRN 4309744.

• DeFi vs TradFi: Valuation Using Multiples and Discounted Cash Flow (2025) [paper]
  Teng Andrea Xu, Jiahua Xu, Kristof Lommers.
  Digital Assets.

• A Short Survey on Business Models of Decentralized Finance (DEFI) Protocols (2022) [paper]
  Teng Andrea Xu, Jiahua Xu.
  International Conference on Financial Cryptography and Data Security, 197-206.

• Poster: Performance Evaluation of an Open-Source Audio-Video Bridging/Time-Sensitive Networking Testbed for Automotive Ethernet (2018) [paper]
  Teng Andrea Xu, Florian Adamsky, Ion Turcanu, Ridha Soua, Christian Köbel, Thomas Engel, Andrea Baiocchi.
  2018 IEEE Vehicular Networking Conference (VNC).