Computational & Data Science Preprint Repository

  • 2023

    • G Baxevani, V Harmandaris, E Kalligiannaki, I Tsantili, Bottom-up transient time models in coarse-graining molecular systems, arXiv preprint arXiv:2302.05159, 2023
    • J Birrell, Y Pantazis, P Dupuis, MA Katsoulakis, L Rey-Bellet, Function-space regularized Rényi divergences, The Eleventh International Conference on Learning Representations 2023 (pdf file)
    • D Gazoulis, I Gkanis, CG Makridakis, On the Stability and Convergence of Physics Informed Neural Networks, arXiv preprint arXiv:2308.05423, 2023
    • EH Georgoulis, M Loulakis, A Tsiourvas, Discrete gradient flow approximations of high dimensional evolution partial differential equations via deep neural networks, Communications in Nonlinear Science and Numerical Simulation 117, 106893, 2023 (html file)
    • EH Georgoulis, CG Makridakis, Lower bounds, elliptic reconstruction and a posteriori error control of parabolic problems, IMA Journal of Numerical Analysis, drac080, 2023 (html file).
    • S Gidaris, A Bursuc, O Simeoni, A Vobecky, N Komodakis, M Cord, P Pérez, MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignment, arXiv preprint arXiv:2307.09361, 2023
    • G Grekas, K Koumatos, C Makridakis, A Vikelis, A class of Discontinuous Galerkin methods for nonlinear variational problems, arXiv preprint arXiv:2308.12891, 2023
    • A Koutsimpela, M Loulakis, On the optimally controlled stochastic shallow lake, arXiv preprint arXiv:2309.02885, 2023
    • K Lakiotaki, Z Papadovasilakis, V Lagani, S Fafalios, P Charonyktakis, M Tsagris, I Tsamardinos, Automated machine learning for Genome Wide Association Studies, 2023 (pdf file)
    • T Le, J Li, R Ness, S Triantafillou, S Shimizu, P Cui, K Kuang, J Pei, ..., Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision, The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 2023 (html file)
    • M Loulakis, CG Makridakis, A new approach to generalisation error of machine learning algorithms: Estimates and convergence, arXiv preprint arXiv:2306.13784, 2023
    • S Martinot, N Komodakis, M Vakalopoulou, N Bus, C Robert, E Deutsch, N Paragios, Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation, International Conference on Information Processing in Medical Imaging, 485-496, 2023 (html file)
    • S Martinot, N Komodakis, M Vakalopoulou, N Bus, C Robert, E Deutsch, N Paragios, Check for Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation, Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023. (html file)
    • S Martinot, N Komodakis, M Vakalopoulou, N Bus, C Robert, E Deutsch, N Paragios, PO-1802 Deep Particles Embedding: accelerating Monte-Carlo dose simulations, Radiotherapy and Oncology 182, S1526-S1527, 2023 (html file)
    • AD Mazaris, C Dimitriadis, M Papazekou, G Schofield, A Doxa, ..., Priorities for Mediterranean marine turtle conservation and management in the face of climate change, Journal of Environmental Management 339, 117805, 2023. (html file)
    • K Mouloudakis, F Vouzinas, A Margaritakis, A Koutsimpela, G Mouloudakis, V Koutrouli, M Skotiniotis, GP Tsironis, M Loulakis, MW Mitchell, G Vasilakis, IK Kominis, Inter-species spin-noise correlations in hot atomic vapors, arXiv preprint arXiv:2308.13090, 2023
    • A Ntroumpogiannis, M Giannoulis, N Myrtakis, V Christophides, E Simon, I Tsamardinos, A meta-level analysis of online anomaly detectors, The VLDB Journal, 1-42, 2023 (html file)
    • OD Røe, OTD Nguyen, Y Fotopoulos, V Lagani, I Tsamardinos, Prediction of 6-year risk of bladder cancer using the HUNT Lung Cancer Risk Model in ever-smokers: A HUNT study, Journal of Clinical Oncology 41 (16_suppl), e16581-e16581, 2023 (html file)
    • GV Thomaidis, K Papadimitriou, S Michos, E Chartampilas, I Tsamardinos, Corrigendum to “A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning”, IBRO Neuroscience Reports 15, 178, 2023 (html file)
    • GV Thomaidis, K Papadimitriou, S Michos, E Chartampilas, I Tsamardinos, A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning, IBRO Neuroscience Reports 15, 77-89 2023 (html file)
    • S Triantafillou, F Jabbari, GF Cooper, Learning Treatment Effects from Observational and Experimental Data, International Conference on Artificial Intelligence and Statistics, 7126-7146, 2023 (pdf file)
    • K Tzirakis, Y Kamarianakis, N Kontopodis, CV Ioannou, Selection of Bifurcated Grafts’ Dimensions during Aorto-Iliac Vascular Reconstruction Based on Their Hemodynamic Performance, Bioengineering 10 (7), 776, 2023 (html file)
    • K Tzirakis, Y Kamarianakis, N Kontopodis, CV Ioannou, Classification of Blood Rheological Models through an Idealized Symmetrical Bifurcation, Symmetry 15 (3), 630, 2023 (html file)
    • K Tzirakis, Y Kamarianakis, N Kontopodis, CV Ioannou, The Effect of Blood Rheology and Inlet Boundary Conditions on Realistic Abdominal Aortic Aneurysms under Pulsatile Flow Conditions, Bioengineering 10 (2), 272, 2023 (html file)

  • 2022