Our Colloquium series offers a diverse platform for research scholars, faculty, students, and industry experts to share and exchange ideas, fostering discussion and networking across mathematics, statistics, and data science. Our own Professor Christian Kümmerle will speak at this week's colloquium on "Iterative Quadratic Reweighting for Low-Rank Neural Network Training & Minimum-Cost Flow Problems." Abstract: Parameter-efficient training, based on low-rank …
Mathematics Department Calendar