Mirrokni, Vahab

Gemma 3 Technical Report

Gemma Team, Kamath, A., Ferret, J., Pathak, S., Vieillard, N., Merhej, R., Perrin, S., Matejovicova, T., Ramé, A., Rivière, M., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1,156

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Tight Approximation Algorithms for Maximum Separable Assignment Problems

Fleischer, L., Goemans, M. X., Mirrokni, V. S., & Sviridenko, M. (2011) · Mathematics of Operations Research

Complexity and Algorithms in GraphsOptimization and Packing Problems

Cited by 65

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Behrouz, A., Razaviyayn, M., Zhong, P., & Mirrokni, V. (2025) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 65

Nested Learning: The Illusion of Deep Learning Architectures

Behrouz, A., Razaviyayn, M., Zhong, P., & Mirrokni, V. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 37

Titans: Learning to Memorize at Test Time

Behrouz, A., Zhong, P., & Mirrokni, V. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24

PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels

Kacham, P., Mirrokni, V., & Zhong, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Memory Caching: RNNs with Growing Memory

Behrouz, A., Li, Z., Deng, Y., Zhong, P., Razaviyayn, M., & Mirrokni, V. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

ATLAS: Learning to Optimally Memorize the Context at Test Time

Behrouz, A., Li, Z., Kacham, P., Daliri, M., Deng, Y., Zhong, P., Razaviyayn, M., & Mirrokni, V. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

Zandieh, A., Daliri, M., Hadian, M., & Mirrokni, V. (2025) · arXiv

Logic, programming, and type systemsFormal Methods in Verification

Cited by 0