Cyrus Rashtchian

Orcid: 0000-0001-9422-2779

According to our database1, Cyrus Rashtchian authored at least 46 papers between 2010 and 2025.

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Bibliography

2025
Multivariate Analytic Combinatorics for Cost Constrained Channels.
IEEE Trans. Inf. Theory, November, 2025

Prior Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods.
CoRR, October, 2025

Latent Concept Disentanglement in Transformer-based Language Models.
CoRR, June, 2025

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis.
CoRR, 2024

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.
CoRR, 2024

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Probing Predictions on OOD Images via Nearest Categories.
Trans. Mach. Learn. Res., 2023

Substance or Style: What Does Your Image Embedding Know?
CoRR, 2023

Benchmarking Robustness to Adversarial Image Obfuscations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exact Asymptotics for Discrete Noiseless Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Edge Isoperimetric Inequalities for Powers of the Hypercube.
Electron. J. Comb., 2022

A Theoretical View on Sparsely Activated Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021
Covering Codes Using Insertions or Deletions.
IEEE Trans. Inf. Theory, 2021

Trace Reconstruction Problems in Computational Biology.
IEEE Trans. Inf. Theory, 2021

Multivariate Analytic Combinatorics for Cost Constrained Channels and Subsequence Enumeration.
CoRR, 2021

Batch Optimization for DNA Synthesis.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Approximate Trace Reconstruction: Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Average-Case Communication Complexity of Statistical Problems.
Proceedings of the Conference on Learning Theory, 2021

2020
Approximate Trace Reconstruction.
CoRR, 2020

Close Category Generalization.
CoRR, 2020

Unsupervised Embedding of Hierarchical Structure in Euclidean Space.
CoRR, 2020

ExKMC: Expanding Explainable k-Means Clustering.
CoRR, 2020

Adversarial Robustness Through Local Lipschitzness.
CoRR, 2020

LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Closer Look at Accuracy vs. Robustness.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Covering Codes for Insertions and Deletions.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Coding for Efficient DNA Synthesis.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Equivalence of Systematic Linear Data Structures and Matrix Rigidity.
Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Explainable k-Means and k-Medians Clustering.
Proceedings of the 37th International Conference on Machine Learning, 2020

Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems.
Proceedings of the Approximation, 2020

Robustness for Non-Parametric Classification: A Generic Attack and Defense.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits.
CoRR, 2019

Reconstructing Trees from Traces.
Proceedings of the Conference on Learning Theory, 2019

2018
New Algorithmic Tools for Distributed Similarity Search and Edge Estimation.
PhD thesis, 2018

Edge Estimation with Independent Set Oracles.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2017
Massively-Parallel Similarity Join, Edge-Isoperimetry, and Distance Correlations on the Hypercube.
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017

Clustering Billions of Reads for DNA Data Storage.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Bounded Matrix Rigidity and John's Theorem.
Electron. Colloquium Comput. Complex., 2016

Shattered Sets and the Hilbert Function.
Proceedings of the 41st International Symposium on Mathematical Foundations of Computer Science, 2016

2010
Collecting Image Annotations Using Amazon's Mechanical Turk.
Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010

Every Picture Tells a Story: Generating Sentences from Images.
Proceedings of the Computer Vision, 2010

Cross-Caption Coreference Resolution for Automatic Image Understanding.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010


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