Majid Daliri

Orcid: 0000-0003-4001-4346

According to our database1, Majid Daliri authored at least 14 papers between 2022 and 2025.

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Bibliography

2025
ATLAS: Learning to Optimally Memorize the Context at Test Time.
CoRR, May, 2025

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate.
CoRR, April, 2025

Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics.
CoRR, April, 2025

Matrix Product Sketching via Coordinated Sampling.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unlock the Theory behind Scaling 1-bit Neural Networks.
Proceedings of the Conference on Parsimony and Learning, 2025

QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Sampling Methods for Inner Product Sketching.
Proc. VLDB Endow., May, 2024

Unlocking the Theory Behind Scaling 1-Bit Neural Networks.
CoRR, 2024

Coupling without Communication and Drafter-Invariant Speculative Decoding.
CoRR, 2024

Simple Analysis of Priority Sampling.
Proceedings of the 2024 Symposium on Simplicity in Algorithms, 2024

2023
A 10-Approximation of the π/2 -MST.
J. Comput. Geom., 2023

Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

KDEformer: Accelerating Transformers via Kernel Density Estimation.
Proceedings of the International Conference on Machine Learning, 2023

2022
Efficient approximations for cache-conscious data placement.
Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022


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