| 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 | 222 | 2020 |
| Lifelong generative modeling J Ramapuram, M Gregorova, A Kalousis Journal of Neurocomputing, 2020, 2017 | 74 | 2017 |
| 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 | 68 | 2021 |
| Continual Classification Learning Using Generative Models F Lavda, J Ramapuram, M Gregorova, A Kalousis Continual Learning Workshop NIPS 2018, 2018 | 31 | 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 | 8 | 2021 |
| 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 |
| Position prediction as an effective pretraining strategy S Zhai, N Jaitly, J Ramapuram, D Busbridge, T Likhomanenko, JY Cheng, ... ICML 2022, 2022 | 4 | 2022 |
| 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 |
| Stochastic Contrastive Learning J Ramapuram, D Busbridge, X Suau, R Webb 2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021 | 3 | 2021 |
| A New Benchmark and Progress Toward Improved Weakly Supervised Learning J Ramapuram, R Webb British Machine Vision Conference 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 |
| Improving discrete latent representations with differentiable approximation bridges J Ramapuram, R Webb 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 2 | 2020 |
| Large-scale Nonlinear Variable Selection via Kernel Random Features M Gregorová, J Ramapuram, A Kalousis, S Marchand-Maillet ECML PKDD 2018, 2018 | 2 | 2018 |
| Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. J Ramapuram, R Webb arXiv preprint arXiv:1905.03658, 2019 | 1 | 2019 |
| Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer A Ovsianas, J Ramapuram, D Busbridge, EG Dhekane, R Webb NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice, 2022 | | 2022 |
| Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data JE Ramapuram University of Geneva, 2021 | | 2021 |
| Neural network architecture RY Webb, J Ramapuram US Patent 10,853,691, 2020 | | 2020 |
Alexandros KalousisUniversity of Applied Sciences, Western Switzerland (HES-SO).Dirección de correo verificada de hesge.ch
