Anthony M. Polloreno

According to our database, Anthony M. Polloreno authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Innovation Capacity of Dynamical Learning Systems.

Anthony M. Polloreno

CoRR, January, 2026

2025

Practical Efficiency of Muon for Pretraining.

Ishaan Shah, Anthony M. Polloreno, Karl Stratos, Philip Monk, Adarsh Chaluvaraju, Andrew Hojel, Andrew Ma, Anil Thomas, Ashish Tanwer, Darsh J. Shah, Khoi Nguyen, Kurt Smith, Michael Callahan, Michael Pust, Mohit Parmar, Peter Rushton, Platon Mazarakis, Ritvik Kapila, Saurabh Srivastava, Somanshu Singla, Tim Romanski, Yash Vanjani, Ashish Vaswani

CoRR, May, 2025

Rethinking Reflection in Pre-Training.

Darsh J. Shah, Peter Rushton, Somanshu Singla, Mohit Parmar, Kurt Smith, Yash Vanjani, Ashish Vaswani, Adarsh Chaluvaraju, Andrew Hojel, Andrew Ma, Anil Thomas, Anthony M. Polloreno, Ashish Tanwer, Burhan Drak Sibai, Divya S. Mansingka, Divya Shivaprasad, Ishaan Shah, Karl Stratos, Khoi Nguyen, Michael Callahan, Michael Pust, Mrinal Iyer, Philip Monk, Platon Mazarakis, Ritvik Kapila, Saurabh Srivastava, Tim Romanski

CoRR, April, 2025

A Theory of Direct Randomized Benchmarking.

Anthony M. Polloreno, Arnaud Carignan-Dugas, Jordan Hines, Robin Blume-Kohout, Kevin C. Young, Timothy Proctor

Quantum, 2025

2023

Limits to Reservoir Learning.

Anthony M. Polloreno

CoRR, 2023

A Note on Noisy Reservoir Computation.

Anthony M. Polloreno, Reuben R. W. Wang, Nikolas A. Tezak

CoRR, 2023