Format results
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Talk
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Projective elliptic genera and applications
Fei Han National University of Singapore
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Topological Modular Forms and Quantum Field Theory
Davide Gaiotto Perimeter Institute for Theoretical Physics
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Equivariant elliptic cohomology with integral coefficients
Lennart Meier Utrecht University
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The de Rham model for elliptic cohomology from physics
Arnav Tripathy Harvard University
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Quasisymmetric characteristic numbers for Hamiltonian toric manifolds
Jack Morava Johns Hopkins University
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Codes, vertex algebras and topological modular forms
Gerd Laures Ruhr University Bochum
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Elliptic characteristic classes, bow varieties, 3d mirror duality
Richard Rimanyi University of North Carolina at Chapel Hill
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Talk
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 8
Latham Boyle University of Edinburgh
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 7
Latham Boyle University of Edinburgh
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 6
Latham Boyle University of Edinburgh
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 5
Latham Boyle University of Edinburgh
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 3
Latham Boyle University of Edinburgh
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 2
Latham Boyle University of Edinburgh
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PSI 2019/2020 - Standard Model and Beyond part 2 - Lecture 1
Latham Boyle University of Edinburgh
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Talk
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Talk
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PSI 2019/2020 - Cosmology Part 2 - Lecture 2
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 2 - Lecture 1
Matthew Johnson York University
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Talk
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PSI 2019/2020 - Computational Physics - Lecture 15
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 14
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 13
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 12
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 10
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 8
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 7
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 6
Erik Schnetter Perimeter Institute for Theoretical Physics
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Talk
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PSI 2019/2020 - Quantum Gravity Part 1 - Lecture 6
Bianca Dittrich Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Quantum Gravity Part 1 - Lecture 5
Bianca Dittrich Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Quantum Gravity Part 1 - Lecture 4
Bianca Dittrich Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Quantum Gravity Part 1 - Lecture 3
Bianca Dittrich Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Quantum Gravity Part 1 - Lecture 2
Bianca Dittrich Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Quantum Gravity Part 1 - Lecture 1
Bianca Dittrich Perimeter Institute for Theoretical Physics
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Talk
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PSI 2019/2020 - Relativistic Quantum Information Part 1 - Lecture 4
Eduardo Martin-Martinez University of Waterloo
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PSI 2019/2020 - Relativistic Quantum Information Part 1 - Lecture 3
Eduardo Martin-Martinez University of Waterloo
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PSI 2019/2020 - Relativistic Quantum Information Part 1 - Lecture 2
Eduardo Martin-Martinez University of Waterloo
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PSI 2019/2020 - Relativistic Quantum Information Part 1 - Lecture 1
Eduardo Martin-Martinez University of Waterloo
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Talk
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PSI 2019/2020 - Quantum Matter Part 2 - Lecture 2
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 2 - Lecture 1
Alioscia Hamma University of Naples Federico II
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Talk
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Talk
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PSI 2019/2020 - QFT III - Lecture 14
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - QFT III - Lecture 13
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - QFT III - Lecture 12
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - QFT III - Lecture 11
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - QFT III - Lecture 10
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - QFT III - Lecture 8
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - QFT III - Lecture 7
Jaume Gomis Perimeter Institute for Theoretical Physics
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Talk
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PSI 2019/2020 - Cosmology Part 1 - Lecture 8
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 7
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 6
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 5
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 4
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 3
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 2
Matthew Johnson York University
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PSI 2019/2020 - Cosmology Part 1 - Lecture 1
Matthew Johnson York University
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Talk
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PSI 2019/2020 - Machine Learning for Many-Body Physics - Lecture 2
Mohamed Hibat Allah University of Waterloo
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PSI 2019/2020 - Machine Learning for Many-Body Physics - Lecture 1
Mohamed Hibat Allah University of Waterloo
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PSI 2019/2020 - Standard Model and Beyond - Part 2
PSI 2019/2020 - Standard Model and Beyond - Part 2 -
PSI 2019/2020 - Cosmology Part 2
PSI 2019/2020 - Cosmology Part 2 -
Quantum Field Theory for Cosmology (Kempf)
Quantum Field Theory for Cosmology (Kempf) -
PSI 2019/2020 - Computational Physics
PSI 2019/2020 - Computational Physics -
PSI 2019/2020 - Quantum Gravity Part 1
PSI 2019/2020 - Quantum Gravity Part 1 -
PSI 2019/2020 - Relativistic Quantum Information Part 1
PSI 2019/2020 - Relativistic Quantum Information Part 1 -
PSI 2019/2020 - Quantum Matter (Part 2)
PSI 2019/2020 - Quantum Matter (Part 2) -
PSI 2019/2020 - Chern-Simons Theory (Part 1)
PSI 2019/2020 - Chern-Simons Theory (Part 1) -
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PSI 2019/2020 - Cosmology (Part 1)
PSI 2019/2020 - Cosmology (Part 1) -
PSI 2019/2020 - Machine Learning for Many-Body Physics
PSI 2019/2020 - Machine Learning for Many-Body Physics