Ph.D. thesis
Q. Klopfenstein, Non-smooth optimization for the estimation of cellular
immune components in a tumoral environment . Defended on June, 30th, 2021. Manuscript, Slides.
Mathematics and Machine Learning
Publications
Q. Bertrand, QK, M. Blondel, S. Vaiter, A. Gramfort, J. Salmon. Implicit differentiation of Lasso-type models for hyperparameter optimization. Internation Conference on Machine Learning, 2020
QK, Samuel Vaiter. Linear Support Vector Regression with Linear Constraints. Accepter for publication. Mach Learn., 39 pages. 2021
Preprints
Q. Bertrand, QK, M. Massias, M. Blondel, S. Vaiter, A. Gramfort, J. Salmon. Implicit differentiation for fast hyperparameter selection in
non-smooth convex learning. Submitted. arXiv:2105.01637. 45 pages. 2021
QK, Q. Bertrand, A. Gramfort, J. Salmon, S. Vaiter. Model identification and local linear convergence
of coordinate descent. Submitted. arXiv:2010.11825. 26 pages. 2020
Biostatistics
QK, V. Derangère, L. Arnould, M. Thibaudin et al. Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer. JITC, 2021
C. Reichling, J. Taieb, V. Derangère, QK et al. Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study. Gut, 2019
QK, C. Truntzer, J. Vincent, F. Ghiringhelli. Cell lines and immune classification of glioblastoma define patient’s prognosis. British Journal of Cancer, 2019
F. Ledys, QK, C. Truntzer, L. Arnould et al. RAS status and neoadjuvant chemotherapy impact CD8+ cells and tumor HLA class I expression in liver metastatic colorectal cancer. JITC, 2018
JD. Fumet, C. Richard, F. Ledys, QK, et al. Prognostic and predictive role of CD8 and PD-L1 determination in lung tumor tissue of patients under anti-PD-1 therapy. British Journal of Cancer, 2018
T. Collot, JD. Fumet, QK, J. Vincent et al. Bevacizumab-based Chemotherapy for Poorly-differentiated Neuroendocrine Tumors. Anticancer Research, 2018