| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Data augmentation can improve robustness SA Rebuffi, S Gowal, DA Calian, F Stimberg, O Wiles, TA Mann Advances in Neural Information Processing Systems 34, 29935-29948, 2021 | 558 | 2021 |
| Improving robustness using generated data S Gowal, SA Rebuffi, O Wiles, F Stimberg, DA Calian, TA Mann Advances in Neural Information Processing Systems 34, 4218-4233, 2021 | 429 | 2021 |
| Fixing Data Augmentation to Improve Adversarial Robustness SA Rebuffi, S Gowal, DA Calian, F Stimberg, O Wiles, T Mann arXiv preprint arXiv:2103.01946, 2021 | 366 | 2021 |
| 3D-printing of non-assembly, articulated models J Calì, DA Calian, C Amati, R Kleinberger, A Steed, J Kautz, T Weyrich ACM Transactions on Graphics (TOG) 31 (6), 1-8, 2012 | 361 | 2012 |
| Defending Against Image Corruptions Through Adversarial Augmentations DA Calian, F Stimberg, O Wiles, SA Rebuffi, A Gyorgy, T Mann, S Gowal arXiv preprint arXiv:2104.01086, 2021 | 58 | 2021 |
| From Faces to Outdoor Light Probes DA Calian, JF Lalonde, P Gotardo, T Simon, I Matthews, K Mitchell Computer Graphics Forum 37 (2), 2018 | 57 | 2018 |
| The Shading Probe: Fast Appearance Acquisition for Mobile AR DA Calian, K Mitchell, D Nowrouzezahrai, J Kautz ACM SIGGRAPH Asia 2013 Technical Briefs 32, 20:1--20:4, 2013 | 40 | 2013 |
| Balancing constraints and rewards with meta-gradient d4pg DA Calian, DJ Mankowitz, T Zahavy, Z Xu, J Oh, N Levine, T Mann International Conference on Learning Representations, 2020 | 33 | 2020 |
| Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification DJ Mankowitz, DA Calian, R Jeong, C Paduraru, N Heess, S Dathathri, ... arXiv preprint arXiv:2010.10644, 2020 | 23 | 2020 |
| Optical illumination mapping DA Calian, KJ Mitchell US Patent 9,418,629, 2016 | 22 | 2016 |
| Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets DA Calian, J Bacardit Memetic Computing 5 (2), 95-130, 2013 | 13 | 2013 |
| DataRater: Meta-Learned Dataset Curation DA Calian, G Farquhar, I Kemaev, LM Zintgraf, M Hessel, J Shar, J Oh, ... arXiv preprint arXiv:2505.17895, 2025 | 8 | 2025 |
| Hindering Adversarial Attacks with Implicit Neural Representations AA Rusu, DA Calian, S Gowal, R Hadsell International Conference on Machine Learning, 18910-18934, 2022 | 7 | 2022 |
| Discovering state-of-the-art reinforcement learning algorithms J Oh, G Farquhar, I Kemaev, DA Calian, M Hessel, L Zintgraf, S Singh, ... Nature, 1-2, 2025 | 3 | 2025 |
| Scalable Meta-Learning via Mixed-Mode Differentiation I Kemaev, DA Calian, LM Zintgraf, G Farquhar, H van Hasselt arXiv preprint arXiv:2505.00793, 2025 | 2 | 2025 |
| Doing more with less: Improving robustness using generated data S Gowal, SA Rebuffi, O Wiles, F Stimberg, D Calian, T Mann, L DeepMind ICLR Workshop on Security and Safety in Machine Learning Systems, 2021 | 2 | 2021 |
| The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver A Zhernov, KD Dvijotham, I Lobov, DA Calian, M Gong, N Chandrashekar, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 2 | 2020 |
| SCRAM: Spatially Coherent Randomized Attention Maps DA Calian, P Roelants, J Cali, B Carr, K Dubba, JE Reid, D Zhang arXiv preprint arXiv:1905.10308, 2019 | 2 | 2019 |
| Training a neural network using outputs of a corruption neural network DA Calian, SA Gowal, TA Mann, A György US Patent 12,254,678, 2025 | 1 | 2025 |
Timothy A MannMetaVerified email at fb.com
