Applying Deep Learning to Basketball Trajectories. - Rajiv Shah; Rob Romijnders (CoRR, 2016)

Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction. - Yu Zhao; Rennong Yang; Guillaume Chevalier; Rajiv Shah; Rob Romijnders (CoRR, 2017)

Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. - Panagiotis Meletis; Rob Romijnders; Gijs Dubbelman (ITSC, 2019)

A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. - Rob Romijnders; Panagiotis Meletis; Gijs Dubbelman (WACV, 2019)

On Robustness and Transferability of Convolutional Neural Networks. - Josip Djolonga; Jessica Yung; Michael Tschannen; Rob Romijnders; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; Matthias Minderer; Alexander D'Amour; Dan Moldovan; Sylvain Gelly; Neil Houlsby; et al. (CVPR, 2021)

Impact of Aliasing on Generalization in Deep Convolutional Networks. - Cristina Nader Vasconcelos; Hugo Larochelle; Vincent Dumoulin; Rob Romijnders; Nicolas Le Roux; Ross Goroshin (ICCV, 2021)

Revisiting the Calibration of Modern Neural Networks. - Matthias Minderer; Josip Djolonga; Rob Romijnders; Frances Hubis; Xiaohua Zhai; Neil Houlsby; Dustin Tran; Mario Lucic (NeurIPS, 2021)

Representation learning from videos in-the-wild: An object-centric approach. - Rob Romijnders; Aravindh Mahendran; Michael Tschannen; Josip Djolonga; Marvin Ritter; Neil Houlsby; Mario Lucic (WACV, 2021)

SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size. - Jessica Yung; Rob Romijnders; Alexander Kolesnikov 003; Lucas Beyer; Josip Djolonga; Neil Houlsby; Sylvain Gelly; Mario Lucic; Xiaohua Zhai (CoRR, 2021)

Beyond Transfer Learning: Co-finetuning for Action Localisation. - Anurag Arnab; Xuehan Xiong; Alexey A. Gritsenko; Rob Romijnders; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid (CoRR, 2022)

No time to waste: practical statistical contact tracing with few low-bit messages. - Rob Romijnders; Yuki M. Asano; Christos Louizos; Max Welling (AISTATS, 2023)

The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection. - Simon Mariani; Sander R. Klomp; Rob Romijnders; Peter H. N. de With (VISIGRAPP (5: VISAPP), 2023)

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. - Rob Romijnders; Christos Louizos; Yuki M. Asano; Max Welling (AAAI, 2024)

DNA: Differentially private Neural Augmentation for contact tracing. - Rob Romijnders; Christos Louizos; Yuki M. Asano; Max Welling (CoRR, 2024)

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation. - Rob Romijnders; Stefanos Laskaridis; Ali Shahin Shamsabadi; Hamed Haddadi (CoRR, 2025)