Alexandru Meterez

According to our database, Alexandru Meterez authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding.

Costin-Andrei Oncescu, Depen Morwani, Samy Jelassi, Alexandru Meterez, Mujin Kwun, Sham M. Kakade

CoRR, April, 2026

GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon.

Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi

CoRR, February, 2026

Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging.

Alexandru Meterez, Pranav Ajit Nair, Depen Morwani, Cengiz Pehlevan, Sham M. Kakade

CoRR, February, 2026

2025

Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling.

Alexandru Meterez, Depen Morwani, Jingfeng Wu, Costin-Andrei Oncescu, Cengiz Pehlevan, Sham M. Kakade

CoRR, October, 2025

A Simplified Analysis of SGD for Linear Regression with Weight Averaging.

Alexandru Meterez, Depen Morwani, Costin-Andrei Oncescu, Jingfeng Wu, Cengiz Pehlevan, Sham M. Kakade

CoRR, June, 2025

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Rosie Zhao, Alexandru Meterez, Sham M. Kakade, Cengiz Pehlevan, Samy Jelassi, Eran Malach

CoRR, April, 2025

The Optimization Landscape of SGD Across the Feature Learning Strength.

Alexander B. Atanasov, Alexandru Meterez, James B. Simon, Cengiz Pehlevan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Why do Learning Rates Transfer? Reconciling Optimization and Scaling Limits for Deep Learning.

Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto

CoRR, 2024

Super Consistency of Neural Network Landscapes and Learning Rate Transfer.

Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion.

Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Rätsch, Hadi Daneshmand

Proceedings of the Twelfth International Conference on Learning Representations, 2024