911±¬ÁÏÍø

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Public defence in Computer Science, MSc Prakhar Verma

Scalable Probabilistic Inference for Sequential Stochastic Models

Public defence from the 911±¬ÁÏÍø School of Science, Department of Computer Science.
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In this event, we are committed to 911±¬ÁÏ꿉۪s principles for a safer space.

Principles for a safe space

Title of the thesis: Scalable Probabilistic Inference for Sequential Stochastic Models

Thesis defender: Prakhar Verma 
Opponent: Associate Professor Jes Frellsen, Technical University of Denmark
Custos: Associate Professor Arno Solin, 911±¬ÁÏÍø School of Science

Thesis available for public display 7 days prior to the defence at . 

Doctoral theses of the School of Science

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Doctoral theses of the School of Science are available in the open access repository maintained by Aalto, Aaltodoc.

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