Hi! I am currently a PhD student in Computer Science working with Prof. Yarin Gal and Sebastian Farquhar at the University of Oxford.
I’m interested in improving our theoretical understanding of deep learning and making deep learning safer for real-world applications.
Robustness to Pruning Predicts Generalization in Deep Neural Networks
Lorenz Kuhn, Clare Lyle, Aidan N. Gomez, Jonas Rothfuss, Yarin Gal
Efficient Smoothing of Dilated Convolutions for Image Segmentation
Thomas Ziegler, Manuel Fritsche, Lorenz Kuhn, Konstantin Donhauser
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang
Health Text Mining and Information Analysis workshop at EMNLP 2018
Implicit Negative Feedback in Clinical Information Retrieval
Lorenz Kuhn, Carsten Eickhoff
Medical Information Retrieval Workshop at ACM SIGIR 2016
Recently, at Cohere, I worked on making large language models faster and more efficient.