| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3439 | 2024 |
| On the effectiveness of interval bound propagation for training verifiably robust models S Gowal, K Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ... arXiv preprint arXiv:1810.12715, 2018 | 696 | 2018 |
| Safe exploration in continuous action spaces G Dalal, K Dvijotham, M Vecerik, T Hester, C Paduraru, Y Tassa arXiv preprint arXiv:1801.08757, 2018 | 675 | 2018 |
| A Dual Approach to Scalable Verification of Deep Networks. K Dvijotham, R Stanforth, S Gowal, TA Mann, P Kohli UAI 1 (2), 3, 2018 | 511 | 2018 |
| Adversarial robustness through local linearization C Qin, J Martens, S Gowal, D Krishnan, K Dvijotham, A Fawzi, S De, ... Advances in neural information processing systems 32, 2019 | 389 | 2019 |
| A fine-grained analysis on distribution shift O Wiles, S Gowal, F Stimberg, S Alvise-Rebuffi, I Ktena, K Dvijotham, ... arXiv preprint arXiv:2110.11328, 2021 | 321 | 2021 |
| Real-time optimal power flow Y Tang, K Dvijotham, S Low IEEE Transactions on Smart Grid 8 (6), 2963-2973, 2017 | 305 | 2017 |
| Scalable verified training for provably robust image classification S Gowal, KD Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 245 | 2019 |
| Inverse optimal control with linearly-solvable MDPs K Dvijotham, E Todorov Proceedings of the 27th International conference on machine learning (ICML …, 2010 | 224 | 2010 |
| Achieving verified robustness to symbol substitutions via interval bound propagation PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ... arXiv preprint arXiv:1909.01492, 2019 | 207 | 2019 |
| Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018 | 202 | 2018 |
| Rich human feedback for text-to-image generation Y Liang, J He, G Li, P Li, A Klimovskiy, N Carolan, J Sun, J Pont-Tuset, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 179 | 2024 |
| Stealing part of a production language model N Carlini, D Paleka, KD Dvijotham, T Steinke, J Hayase, AF Cooper, ... arXiv preprint arXiv:2403.06634, 2024 | 159 | 2024 |
| Learning optimal conformal classifiers D Stutz, AT Cemgil, A Doucet arXiv preprint arXiv:2110.09192, 2021 | 145 | 2021 |
| Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, RR Bunel, ... Advances in Neural Information Processing Systems 33, 5318-5331, 2020 | 145 | 2020 |
| Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ... Nature Medicine 29 (7), 1814-1820, 2023 | 130 | 2023 |
| Helping or herding? reward model ensembles mitigate but do not eliminate reward hacking J Eisenstein, C Nagpal, A Agarwal, A Beirami, A D'Amour, DJ Dvijotham, ... arXiv preprint arXiv:2312.09244, 2023 | 126 | 2023 |
| The autoencoding variational autoencoder T Cemgil, S Ghaisas, K Dvijotham, S Gowal, P Kohli Advances in Neural Information Processing Systems 33, 15077-15087, 2020 | 118 | 2020 |
| Rigorous agent evaluation: An adversarial approach to uncover catastrophic failures J Uesato, A Kumar, C Szepesvari, T Erez, A Ruderman, K Anderson, ... arXiv preprint arXiv:1812.01647, 2018 | 105 | 2018 |
| Interactive concept bottleneck models K Chauhan, R Tiwari, J Freyberg, P Shenoy, K Dvijotham Proceedings of the aaai conference on artificial intelligence 37 (5), 5948-5955, 2023 | 97 | 2023 |
Pushmeet KohliVP of Science, Google DeepMindVerified email at google.com
