default search action
Bobak T. Kiani
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c8]Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber:
On the hardness of learning under symmetries. ICLR 2024 - [i16]Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber:
On the hardness of learning under symmetries. CoRR abs/2401.01869 (2024) - [i15]Bobak T. Kiani, Jason Wang, Melanie Weber:
Hardness of Learning Neural Networks under the Manifold Hypothesis. CoRR abs/2406.01461 (2024) - 2023
- [b1]Bobak T. Kiani:
Horizons of Artificial Intelligence in Quantum Computation. MIT, USA, 2023 - [j2]Eric R. Anschütz, Andreas Bauer, Bobak Toussi Kiani, Seth Lloyd:
Efficient classical algorithms for simulating symmetric quantum systems. Quantum 7: 1189 (2023) - [c7]Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti:
The SSL Interplay: Augmentations, Inductive Bias, and Generalization. ICML 2023: 3252-3298 - [c6]Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman:
Equivariant Polynomials for Graph Neural Networks. ICML 2023: 28191-28222 - [c5]Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani:
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. NeurIPS 2023 - [i14]Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti:
The SSL Interplay: Augmentations, Inductive Bias, and Generalization. CoRR abs/2302.02774 (2023) - [i13]Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman:
Equivariant Polynomials for Graph Neural Networks. CoRR abs/2302.11556 (2023) - [i12]Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani:
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR abs/2307.05432 (2023) - [i11]Samuel Bosch, Bobak Toussi Kiani, Rui Yang, Adrian Lupascu, Seth Lloyd:
Neural Networks for Programming Quantum Annealers. CoRR abs/2308.06807 (2023) - 2022
- [j1]Quynh T. Nguyen, Bobak T. Kiani, Seth Lloyd:
Block-encoding dense and full-rank kernels using hierarchical matrices: applications in quantum numerical linear algebra. Quantum 6: 876 (2022) - [c4]Hannah Lawrence, Bobak Toussi Kiani, Kristian G. Georgiev, Andrew K. Dienes:
Implicit Bias of Linear Equivariant Networks. ICML 2022: 12096-12125 - [c3]Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd:
projUNN: efficient method for training deep networks with unitary matrices. NeurIPS 2022 - [i10]Quynh The Nguyen, Bobak Toussi Kiani, Seth Lloyd:
Quantum algorithm for dense kernel matrices using hierarchical splitting. CoRR abs/2201.11329 (2022) - [i9]Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd:
projUNN: efficient method for training deep networks with unitary matrices. CoRR abs/2203.05483 (2022) - [i8]Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun:
Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR abs/2209.14884 (2022) - 2021
- [c2]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Adversarial Robustness Guarantees for Random Deep Neural Networks. ICML 2021: 2522-2534 - [i7]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 abs/2101.03037 (2021) - [i6]Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani:
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. CoRR abs/2109.11330 (2021) - [i5]Hannah Lawrence, Kristian Georgiev
, Andrew Dienes, Bobak Toussi Kiani:
Implicit Bias of Linear Equivariant Networks. CoRR abs/2110.06084 (2021) - 2020
- [i4]Bobak Toussi Kiani, Seth Lloyd, Reevu Maity:
Learning Unitaries by Gradient Descent. CoRR abs/2001.11897 (2020) - [i3]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Adversarial robustness guarantees for random deep neural networks. CoRR abs/2004.05923 (2020) - [i2]Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd:
Quantum advantage for differential equation analysis. CoRR abs/2010.15776 (2020)
2010 – 2019
- 2019
- [c1]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Random deep neural networks are biased towards simple functions. NeurIPS 2019: 1962-1974 - 2018
- [i1]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Deep neural networks are biased towards simple functions. CoRR abs/1812.10156 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-29 20:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: