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Payam Delgosha
Payam Delgosha
Senior Machine Learning Engineer, Apple Inc.
Verified email at apple.com
Title
Cited by
Cited by
Year
Universal lossless compression of graphical data
P Delgosha, V Anantharam
IEEE Transactions on Information Theory 66 (11), 6962-6976, 2020
322020
Impossibility of local state transformation via hypercontractivity
P Delgosha, S Beigi
Communications in Mathematical Physics 332 (1), 449-476, 2014
292014
Curricullm: Automatic task curricula design for learning complex robot skills using large language models
K Ryu, Q Liao, Z Li, P Delgosha, K Sreenath, N Mehr
2025 IEEE International Conference on Robotics and Automation (ICRA), 4470-4477, 2025
252025
Randomized algorithms for comparison-based search
D Tschopp, S Diggavi, P Delgosha, S Mohajer
Advances in Neural Information Processing Systems 24, 2011
212011
A notion of entropy for stochastic processes on marked rooted graphs
P Delgosha, V Anantharam
arXiv preprint arXiv:1908.00964, 2019
142019
Robust Classification Under Attack for the Gaussian Mixture Model
P Delgosha, H Hassani, R Pedarsani
SIAM Journal on Mathematics of Data Science 4 (1), 362-385, 2022
102022
A universal low complexity compression algorithm for sparse marked graphs
P Delgosha, V Anantharam
IEEE Journal on Selected Areas in Information Theory 3 (4), 746-758, 2023
92023
Distributed compression of graphical data
P Delgosha, V Anantharam
IEEE Transactions on Information Theory 68 (3), 1412-1439, 2021
92021
A Universal Lossless Compression Method Applicable to Sparse Graphs and Heavy–Tailed Sparse Graphs
P Delgosha, V Anantharam
IEEE Transactions on Information Theory 69 (2), 719-751, 2022
62022
Information theoretic cutting of a cake
P Delgosha, AA Gohari
2012 IEEE Information Theory Workshop, 517-521, 2012
6*2012
Load balancing in hypergraphs
P Delgosha, V Anantharam
Journal of Statistical Physics 173 (3), 546-625, 2018
52018
MM-GATBT: Enriching Multimodal Representation Using Graph Attention Network
SB Seo, H Nam, P Delgosha
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
42022
Binary classification under ℓ0 attacks for general noise distribution
P Delgosha, H Hassani, R Pedarsani
IEEE Transactions on Information Theory 70 (2), 1284-1299, 2023
32023
High-probability guarantees in repeated games: Theory and applications in information theory
P Delgosha, A Gohari, M Akbarpour
Proceedings of the IEEE 105 (2), 189-204, 2016
32016
Efficient and robust classification for sparse attacks
M Beliaev, P Delgosha, H Hassani, R Pedarsani
IEEE Journal on Selected Areas in Information Theory 5, 261-272, 2024
22024
A new decoding scheme for errorless codes for overloaded CDMA with active user detection
A Mousavi, P Pad, P Delgosha, F Marvasti
2011 18th International Conference on Telecommunications, 201-205, 2011
22011
Binary Classification Under Attacks for General Noise Distribution
P Delgosha, H Hassani, R Pedarsani
arXiv preprint arXiv:2203.04855, 2022
12022
High Probability Guarantees in Repeated Games: Theory and Applications in Information Theory
P Delgosha, A Gohari, M Akbarpour
arXiv preprint arXiv:1509.08571, 2015
12015
Generalization Properties of Adversarial Training for -Bounded Adversarial Attacks
P Delgosha, H Hassani, R Pedarsani
arXiv preprint arXiv:2402.03576, 2024
2024
Problems on Large Sparse Graphs
P Delgosha
University of California, Berkeley, 2020
2020
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Articles 1–20