Rob Romijnders

24 papers A* 4A 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Private PoEtry: Private In-Context Learning via Product of Experts. CoRR Rob Romijnders, Mohammad Mahdi Derakhshani, Jonathan Petit, Max Welling, Christos Louizos, Yuki M. Asano
2025	J	`jnl`	A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems. CoRR Rob Romijnders, Gabriele Cesa, Christos Louizos, Kumar Pratik, Arash Behboodi
2025	J	`jnl`	NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation. CoRR Rob Romijnders, Stefanos Laskaridis, Ali Shahin Shamsabadi, Hamed Haddadi
2024	J	`jnl`	DNA: Differentially private Neural Augmentation for contact tracing. CoRR Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
2024	A*	`conf`	Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. AAAI Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
2023	A	`conf`	No time to waste: practical statistical contact tracing with few low-bit messages. AISTATS Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling
2023	J	`jnl`	Protect Your Score: Contact Tracing With Differential Privacy Guarantees. CoRR Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
2023	—	`conf`	The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection. VISIGRAPP (5: VISAPP) Simon Mariani, Sander R. Klomp, Rob Romijnders, Peter H. N. de With
2022	J	`jnl`	Beyond Transfer Learning: Co-finetuning for Action Localisation. CoRR Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid
2021	A*	`conf`	Impact of Aliasing on Generalization in Deep Convolutional Networks. ICCV Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021	J	`jnl`	Impact of Aliasing on Generalization in Deep Convolutional Networks. CoRR Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021	A*	`conf`	On Robustness and Transferability of Convolutional Neural Networks. CVPR Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic
2021	A	`conf`	Representation learning from videos in-the-wild: An object-centric approach. WACV Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic
2021	A*	`conf`	Revisiting the Calibration of Modern Neural Networks. NeurIPS Matthias Minderer, Josip Djolonga, Rob Romijnders, Frances Hubis, Xiaohua Zhai, Neil Houlsby, Dustin Tran, Mario Lucic
2021	J	`jnl`	Revisiting the Calibration of Modern Neural Networks. CoRR Matthias Minderer, Josip Djolonga, Rob Romijnders, Frances Hubis, Xiaohua Zhai, Neil Houlsby, Dustin Tran, Mario Lucic
2021	J	`jnl`	SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size. CoRR Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai
2020	J	`jnl`	On Robustness and Transferability of Convolutional Neural Networks. CoRR Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic
2020	J	`jnl`	Representation learning from videos in-the-wild: An object-centric approach. CoRR Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic
2019	A	`conf`	A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. WACV Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman
2019	—	`conf`	Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. ITSC Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman
2019	J	`jnl`	Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. CoRR Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman
2018	J	`jnl`	A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. CoRR Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman
2017	J	`jnl`	Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction. CoRR Yu Zhao, Rennong Yang, Guillaume Chevalier, Rajiv Shah, Rob Romijnders
2016	J	`jnl`	Applying Deep Learning to Basketball Trajectories. CoRR Rajiv Shah, Rob Romijnders