Andrew Sabot

According to our database, Andrew Sabot authored at least 5 papers between 2021 and 2025.

Collaborative distances:

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

2025

ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning.

Huandong Chang, Zicheng Ma, Mingyuan Ma, Zhenting Qi, Andrew Sabot, Hong Jiang, H. T. Kung

CoRR, April, 2025

GASA: Rank-Sliced GAther-Scatter Activations and Application to Sparsity-Preserving Parameter-Efficient Fine-Tuning.

H. T. Kung, Andrew Sabot

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2023

Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels.

Vikas Natesh, Andrew Sabot, H. T. Kung, Mark Ting

CoRR, 2023

MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers.

Andrew Sabot, Vikas Natesh, H. T. Kung, Wei-Te Ting

CoRR, 2023

2021

CAKE: matrix multiplication using constant-bandwidth blocks.

H. T. Kung, Vikas Natesh, Andrew Sabot

Proceedings of the International Conference for High Performance Computing, 2021