Jack Cook

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All published works

Action	Title	Year	Authors
+	A Geometric Framework for Odor Representation	2022	Jack Cook Thomas A. Cleland
+	A Differential Topological Model for Olfactory Learning and Representation	2020	Jack Cook
+	A Differential Topological Model for Olfactory Learning and Representation	2020	Jack Cook
+	NeMo: a toolkit for building AI applications using Neural Modules	2019	Oleksii Kuchaiev Jason Li Huyen Nguyen Oleksii Hrinchuk R. Bret Leary Boris Ginsburg Samuel Kriman Stanislav Beliaev Vitaly Lavrukhin Jack Cook

Common Coauthors

Coauthor	Papers Together
Patrice Castonguay	1
Vitaly Lavrukhin	1
Thomas A. Cleland	1
Boris Ginsburg	1
Jocelyn Huang	1
Samuel Kriman	1
Oleksii Kuchaiev	1
Stanislav Beliaev	1
Jonathan Cohen	1
Oleksii Hrinchuk	1
R. Bret Leary	1
Jason Li	1
Huyen Nguyen	1
Mariya Popova	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Categorical properties of topological and differentiable stacks	2011	David Carchedi	1
+	An Introduction to Manifolds	2007	Loring W. Tu	1
+	An Introduction to Homological Algebra	2008	Joseph Rotman	1
+	Representation Theory of Semisimple Groups: An Overview Based on Examples	1986	Anthony W. Knapp	1
+	Topological and Smooth Stacks	2003	David S. Metzler	1
+	Introduction to Tensor Products of Banach Spaces	2002	Raymond A. Ryan	1
+	Advanced Linear Algebra	2015	Bruce N. Cooperstein	1
+	Clique topology reveals intrinsic geometric structure in neural correlations	2015	Chad Giusti Eva Pastalkova Carina Curto Vladimir Itskov	1
+	Toward a Universal Law of Generalization for Psychological Science	1987	Roger N. Shepard	1
+	A Proof of the Hairy Ball Theorem	1979	Murray Eisenberg Robert Guy	1
+	Manifolds, Sheaves, and Cohomology	2016	Torsten Wedhorn	1
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	1
+ PDF Chat	Category learning can alter perception and its neural correlates	2019	Fernanda Pérez-Gay Juárez Tomy Sicotte Christian Thériault Stevan Harnad	1
+	OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models	2018	Oleksii Kuchaiev Boris Ginsburg Igor Gitman Vitaly Lavrukhin Carl Case Paulius Micikevicius	1
+	Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq	2018	Oleksii Kuchaiev Boris Ginsburg Igor Gitman Vitaly Lavrukhin Jason Li Huyen Nguyen Carl Case Paulius Micikevicius	1
+	Jasper: An End-to-End Convolutional Neural Acoustic Model	2019	Jason Li Vitaly Lavrukhin Boris Ginsburg R. Bret Leary Oleksii Kuchaiev Jonathan Cohen Huyen Nguyen Ravi Teja Gadde	1
+ PDF Chat	fairseq: A Fast, Extensible Toolkit for Sequence Modeling	2019	Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli	1
+	Massive Exploration of Neural Machine Translation Architectures	2017	Denny Britz Anna Goldie Minh-Thang Luong Quoc V. Le	1
+	OpenNMT: Open-Source Toolkit for Neural Machine Translation	2017	Guillaume Klein Yoon Kim Yuntian Deng Jean Sénellart Alexander M. Rush	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	Algebraic topology	2001	Allen Hatcher	1
+ PDF Chat	Rapid online learning and robust recall in a neuromorphic olfactory circuit	2020	Nabil Imam Thomas A. Cleland	1
+ PDF Chat	Signal Conditioning for Learning in the Wild	2019	Ayon Borthakur Thomas A. Cleland	1
+	Advanced real analysis	2005	Anthony W. Knapp	1
+	Représentations linéaires et espaces homogènes kählériens des groupes de Lie compacts	1954	Jean-Pierre Serre	1