2 citations · 2 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT
Evan Dramko, Yizhi Zhu, Aleksandar Krivokapic +4
Accurate structural relaxation is critical for advanced materials design. Traditional approaches built on physics-derived first-principles calculations are computationally expensiv…
cs.LG2025
ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
Evan Dramko, Yihuang Xiong, Yizhi Zhu +4
Point defects play a central role in driving the properties of materials. First-principles methods are widely used to compute defect energetics and structures, including at scale f…
cs.LG2023★ 2 cited
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
Erdong Hu, Yuxin Tang, Anastasios Kyrillidis +1
We carefully evaluate a number of algorithms for learning in a federated environment, and test their utility for a variety of image classification tasks. We consider many issues th…