Maximilian Nickel
RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES
Maximilian Nickel is a Research Scientist at Facebook AI Research in New York. Before joining FAIR, he was a postdoctoral fellow at MIT where he was with the Laboratory for Computational and Statistical Learning and the Center for Brains, Minds and Machines. In 2013, he received his PhD with summa cum laude from the Ludwig Maximilian University Munich. From 2010 to 2013 he worked as a research assistant at Siemens Corporate Technology. His research centers around geometric methods for learning and reasoning with relational knowledge representations and their applications in artificial intelligence and network science.
Maximilian's Publications
June 21, 2022
Matching Normalizing Flows and Probability Paths on Manifolds
Yaron Lipman, Brandon Amos, Max Nickel, Ricky Chen, Samuel Cohen, Aditya Grover, Heli Ben-Hamu, Joey Bose
June 21, 2022
November 05, 2021
CORE MACHINE LEARNING
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen, Aditya Grover, Max Nickel, Yaron Lipman
November 05, 2021
December 11, 2020
December 11, 2020
November 20, 2020
November 20, 2020
September 23, 2020
ML APPLICATIONS
Neural Relational Autoregression for High-Resolution COVID-19 Forecasting
Maximilian Nickel, Levent Sagun, Mark Ibrahim, Matt Le, Timothee Lacroix
September 23, 2020
October 25, 2019
RESEARCH
NLP
Revisiting the Evaluation of Theory of Mind through Question Answering
Max Nickel, Matt Le, Y-Lan Boureau
October 25, 2019
July 16, 2018
RESEARCH
SPEECH & AUDIO
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora
Max Nickel, Douwe Kiela, Stephen Roller
July 16, 2018
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