Andrew Ma

According to our database, Andrew Ma authored at least 13 papers between 2016 and 2026.

Collaborative distances:

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

2026

Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions.

Lingkai Kong, Anagha Satish, Hezi Jiang, Akseli Kangaslahti, Andrew Ma, Wenbo Chen, Mingxiao Song, Lily Xu, Milind Tambe

CoRR, January, 2026

2025

Learning simple heuristic rules for classifying materials based on chemical composition.

Andrew Ma, Marin Soljacic

CoRR, May, 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

Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics.

Andrew Ma, Owen Dugan, Marin Soljacic

CoRR, January, 2025

Sensor Fusion Enhances Anomaly Detection in a Flood Forecasting System.

Andrew Ma, Abhir Karande, Natalie Dahlquist, Fabien Ferrero, Nhat Rich Nguyen

J. Sens. Actuator Networks, 2025

On the Effectiveness of Zero-Shot and Few-Shot Pretrained Language Models for Software Requirement Classification.

Md Shafikuzzaman, Md. Rakibul Islam, Shuaib Zaman, Andrew Ma, Anwarul Islam Sifat

IEEE Access, 2025

2023

Orthogonal rational approximation of transfer functions for high-frequency circuits.

Andrew Ma, Arif Ege Engin

Int. J. Circuit Theory Appl., March, 2023

Multimodal Learning for Crystalline Materials.

Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic

CoRR, 2023

2022

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials.

Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljacic

CoRR, 2022

2019

Anarchic manufacturing.

Andrew Ma, Aydin Nassehi, Chris Snider

Int. J. Prod. Res., 2019

2017

An RF-Powered FDD Radio for Neural Microimplants.

Yashar Rajavi, Mazhareddin Taghivand, Kamal Aggarwal, Andrew Ma, Ada S. Y. Poon

IEEE J. Solid State Circuits, 2017

2016

An energy harvested ultra-low power transceiver for Internet of Medical Things.

Yashar Rajavi, Mazhareddin Taghivand, Kamal Aggarwal, Andrew Ma, Ada S. Y. Poon

Proceedings of the ESSCIRC Conference 2016: 42^nd European Solid-State Circuits Conference, 2016