A new decoding scheme for errorless codes for overloaded CDMA with active user detection. - Ali Mousavi; Pedram Pad; Payam Delgosha; Farokh Marvasti (ICT, 2011)

Randomized Algorithms for Comparison-based Search. - Dominique Tschopp; Suhas N. Diggavi; Payam Delgosha; Soheil Mohajer (NIPS, 2011)

Impossibility of Local State Transformation via Hypercontractivity. - Payam Delgosha; Salman Beigi (CoRR, 2013)

Load balancing in hypergraphs. - Payam Delgosha; Venkat Anantharam (Allerton, 2017)

High-Probability Guarantees in Repeated Games: Theory and Applications in Information Theory. - Payam Delgosha; Amin Aminzadeh Gohari; Mohammad Akbarpour (Proc. IEEE, 2017)

Information Theoretic Cutting of a Cake. - Payam Delgosha; Amin Gohari (IEEE Trans. Inf. Theory, 2017)

Deep Switch Networks for Generating Discrete Data and Language. - Payam Delgosha; Naveen Goela (AISTATS, 2019)

A Notion of Entropy for Stochastic Processes on Marked Rooted Graphs. - Payam Delgosha; Venkat Anantharam (CoRR, 2019)

Universal Lossless Compression of Graphical Data. - Payam Delgosha; Venkat Anantharam (IEEE Trans. Inf. Theory, 2020)

Robust Classification Under 𝓁0 Attack for the Gaussian Mixture Model. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (CoRR, 2021)

MM-GATBT: Enriching Multimodal Representation Using Graph Attention Network. - Seung Byum Seo; Hyoungwook Nam; Payam Delgosha (NAACL-HLT (Student Research Workshop), 2022)

Binary Classification Under 𝓁0 Attacks for General Noise Distribution. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (CoRR, 2022)

Robust Classification Under $ ell_0$ Attack for the Gaussian Mixture Model. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (SIAM J. Math. Data Sci., 2022)

Distributed Compression of Graphical Data. - Payam Delgosha; Venkat Anantharam (IEEE Trans. Inf. Theory, 2022)

A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs. - Payam Delgosha; Venkat Anantharam (IEEE J. Sel. Areas Inf. Theory, 2022)

Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (ITW, 2023)

A Universal Lossless Compression Method Applicable to Sparse Graphs and Heavy-Tailed Sparse Graphs. - Payam Delgosha; Venkat Anantharam (IEEE Trans. Inf. Theory, 2023)

Generalization Properties of Adversarial Training for 𝓁0-Bounded Adversarial Attacks. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (CoRR, 2024)

Efficient and Robust Classification for Sparse Attacks. - Mark Beliaev; Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (IEEE J. Sel. Areas Inf. Theory, 2024)

Binary Classification Under ℓ0 Attacks for General Noise Distribution. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (IEEE Trans. Inf. Theory, 2024)