Bobak Toussi Kiani

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Highly Reliable

Supervised Learning

Top Venues

Publications

Eric R. Anschütz, Andreas Bauer, Bobak Toussi Kiani, Seth Lloyd
Efficient classical algorithms for simulating symmetric quantum systems. Quantum 7 (2023)
Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
The SSL Interplay: Augmentations, Inductive Bias, and Generalization. CoRR (2023)
Samuel Bosch, Bobak Toussi Kiani, Rui Yang, Adrian Lupascu, Seth Lloyd
Neural Networks for Programming Quantum Annealers. CoRR (2023)
Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
The SSL Interplay: Augmentations, Inductive Bias, and Generalization. ICML (2023)
Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman
Equivariant Polynomials for Graph Neural Networks. CoRR (2023)
Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman
Equivariant Polynomials for Graph Neural Networks. ICML (2023)
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR (2023)
Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun
Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR (2022)
Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd
projUNN: efficient method for training deep networks with unitary matrices. NeurIPS (2022)
Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd
projUNN: efficient method for training deep networks with unitary matrices. CoRR (2022)
Quynh The Nguyen, Bobak Toussi Kiani, Seth Lloyd
Quantum algorithm for dense kernel matrices using hierarchical splitting. CoRR (2022)
Hannah Lawrence, Bobak Toussi Kiani, Kristian G. Georgiev, Andrew K. Dienes
Implicit Bias of Linear Equivariant Networks. ICML (2022)
Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth Lloyd
Quantum Earth Mover's Distance: A New Approach to Learning Quantum Data. CoRR (2021)
Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk Englund, Seth Lloyd, Bobak Toussi Kiani
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. CoRR (2021)
Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak Toussi Kiani
Implicit Bias of Linear Equivariant Networks. CoRR (2021)
Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
Adversarial Robustness Guarantees for Random Deep Neural Networks. ICML (2021)
Bobak Toussi Kiani, Giacomo De Palma, Dirk Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd
Quantum advantage for differential equation analysis. CoRR (2020)
Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
Adversarial robustness guarantees for random deep neural networks. CoRR (2020)
Bobak Toussi Kiani, Seth Lloyd, Reevu Maity
Learning Unitaries by Gradient Descent. CoRR (2020)
Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
Random deep neural networks are biased towards simple functions. NeurIPS (2019)
Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
Deep neural networks are biased towards simple functions. CoRR (2018)