Tommi S. Jaakkola, Ph.D.
Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society

MIT Computer Science and Artificial Intelligence Laboratory
Stata Center, Bldg 32-G470
Cambridge, MA 02139

tommi at csail dot mit dot edu

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You can view all the papers in reverse chronological order, sets of papers related to broad categories such as machine learning, natural language processing, chemistry, computational biology, or physics, or papers in more specific areas including inference, semi-supervised learning , information retrieval, or reinforcement learning.

Physics papers

  • X. Fu, T. Xie, A. S. Rosen, T. Jaakkola, and J. A. Smith.
    Mofdiff: Coarse-grained diffusion for metal-organic framework design.
    In The 12th International Conference on Learning Representations (ICLR), 2024.
  • X. Fu, T. Xie, N. J. Rebello, B. Olsen, and T. Jaakkola.
    Simulate time-integrated coarse-grained molecular dynamics with multi-scale graph networks.
    Transactions on Machine Learning Research (TMLR), 2023.
  • X. Fu, Z. Wu, W. Wang, T. Xie, S. Keten, R. Gomez-Bombarelli, and T. Jaakkola.
    Forces are not enough: Benchmark and critical evaluation for machine learning force fields with molecular simulations.
    Transactions on Machine Learning Research (TMLR), 2023.
  • A. Friberg, T. Jaakkola, and J. Tuovinen.
    Electromagnetic gaussian beam beyond the paraxial regime.
    IEEE Transactions of Antennas and Propagation, 1992.
  • A. Vasara, M. Taghizadeh, J. Turunen, Westerholmand E. Noponen J., H. Ichikawa, J. Miller, T. Jaakkola, and S. Kuisma.
    Binary surface-relief gratings for array illumination in digital optics.
    Applied Optics, 31(17):3320--3336, 1992.