| Self-supervised multimodal versatile networks JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ... Advances in Neural Information Processing Systems 33, 25-37, 2020 | 319 | 2020 |
| Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding M Roberts, J Ramapuram, A Ranjan, A Kumar, MA Bautista, N Paczan, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 142 | 2021 |
| Lifelong generative modeling J Ramapuram, M Gregorova, A Kalousis Journal of Neurocomputing, 2020, 2017 | 107 | 2017 |
| Continual Classification Learning Using Generative Models F Lavda, J Ramapuram, M Gregorova, A Kalousis Continual Learning Workshop NIPS 2018, 2018 | 42 | 2018 |
| Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? TG Grigg, D Busbridge, J Ramapuram, R Webb 2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021 | 12 | 2021 |
| Position prediction as an effective pretraining strategy S Zhai, N Jaitly, J Ramapuram, D Busbridge, T Likhomanenko, JY Cheng, ... ICML 2022, 2022 | 10 | 2022 |
| Stabilizing transformer training by preventing attention entropy collapse S Zhai, T Likhomanenko, E Littwin, D Busbridge, J Ramapuram, Y Zhang, ... International Conference on Machine Learning, 40770-40803, 2023 | 6 | 2023 |
| Variational Saccading: Efficient Inference for Large Resolution Images J Ramapuram, M Diephuis, R Webb, A Kalousis 2019 British Machine Vision Conference; 2018 Bayesian Deep Learning Workshop …, 2018 | 6 | 2018 |
| Stochastic Contrastive Learning J Ramapuram, D Busbridge, X Suau, R Webb 2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021 | 4 | 2021 |
| Challenges of Adversarial Image Augmentations A Blaas, X Suau, J Ramapuram, N Apostoloff, L Zappella I Can’t Believe It’s Not Better Workshop (NeurIPS 2021), 2021 | 3 | 2021 |
| Improving discrete latent representations with differentiable approximation bridges J Ramapuram, R Webb 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 3 | 2020 |
| Large-scale Nonlinear Variable Selection via Kernel Random Features M Gregorová, J Ramapuram, A Kalousis, S Marchand-Maillet ECML PKDD 2018, 2018 | 3 | 2018 |
| Evaluating the fairness of fine-tuning strategies in self-supervised learning J Ramapuram, D Busbridge, R Webb BayLearn 2021, 2021 | 2 | 2021 |
| Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory J Ramapuram, Y Wu, A Kalousis ICLR 2021, 2021 | 2 | 2021 |
| A New Benchmark and Progress Toward Improved Weakly Supervised Learning J Ramapuram, R Webb British Machine Vision Conference 2018, 2018 | 2 | 2018 |
| How to Scale Your EMA D Busbridge, J Ramapuram, P Ablin, T Likhomanenko, EG Dhekane, ... arXiv preprint arXiv:2307.13813, 2023 | 1 | 2023 |
| The role of entropy and reconstruction in multi-view self-supervised learning BR Gálvez, A Blaas, P Rodríguez, A Golinski, X Suau, J Ramapuram, ... International Conference on Machine Learning, 29143-29160, 2023 | 1 | 2023 |
| Duet: 2d structured and approximately equivariant representations X Suau, F Danieli, TA Keller, A Blaas, C Huang, J Ramapuram, ... arXiv preprint arXiv:2306.16058, 2023 | 1 | 2023 |
| Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. J Ramapuram, R Webb arXiv preprint arXiv:1905.03658, 2019 | 1 | 2019 |
| Highlighting reading based on adaptive prediction DW Busbridge, J Ramapuram, RY Webb, PG Puskarich US Patent App. 17/874,181, 2023 | | 2023 |
Alexandros KalousisUniversity of Applied Sciences, Western Switzerland (HES-SO).Verified email at hesge.ch
