ML Anthology

Tsaftaris, Sotirios A.

18 publications

TMLR 2025 Causal Ordering for Structure Learning from Time Series Pedro Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris
WACV 2025 GMT: Guided Mask Transformer for Leaf Instance Segmentation Feng Chen, Sotirios A. Tsaftaris, Mario Valerio Giuffrida
NeurIPS 2024 Benchmarking Counterfactual Image Generation Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
MIDL 2024 Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
ICLR 2024 FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy Hospedales
MIDL 2024 Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy Hospedales
MIDL 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis Christopher Boland, Keith A Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh
NeurIPSW 2023 A Causal Ordering Prior for Unsupervised Representation Learning Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
ICCVW 2023 Adapting Vision Foundation Models for Plant Phenotyping Feng Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
ICLR 2023 Diffusion Models for Causal Discovery via Topological Ordering Pedro Sanchez, Xiao Liu, Alison Q O'Neil, Sotirios A. Tsaftaris
CLeaR 2022 Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez, Sotirios A. Tsaftaris
ECML-PKDD 2022 FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
CVPRW 2019 Adversarial Large-Scale Root Gap Inpainting Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris
CVPRW 2019 Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris
CVPRW 2019 Understanding Deep Neural Networks for Regression in Leaf Counting Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
ICCVW 2017 ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris
ICCVW 2017 Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris
ICCVW 2017 Leveraging Multiple Datasets for Deep Leaf Counting Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris