Monarch: Expressive Structured Matrices for Efficient and Accurate Training. - Tri Dao; Beidi Chen; Nimit Sharad Sohoni; Arjun D. Desai; Michael Poli; Jessica Grogan; Alexander Liu; Aniruddh Rao; Atri Rudra; Christopher Ré (ICML, 2022)

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. - Daniel Y. Fu; Simran Arora; Jessica Grogan; Isys Johnson; Evan Sabri Eyuboglu; Armin W. Thomas; Benjamin Spector; Michael Poli; Atri Rudra; Christopher Ré (NeurIPS, 2023)

Towards Learning High-Precision Least Squares Algorithms with Sequence Models. - Jerry Weihong Liu; Jessica Grogan; Owen M. Dugan; Ashish Rao; Simran Arora; Atri Rudra; Christopher Ré (ICLR, 2025)

Towards Learning High-Precision Least Squares Algorithms with Sequence Models. - Jerry Liu; Jessica Grogan; Owen Dugan; Ashish Rao; Simran Arora; Atri Rudra; Christopher Ré (CoRR, 2025)