| Federated Learning and Differential Privacy for Medical Image Analysis M Adnan, S Kalra, JC Cresswell, GW Taylor, H Tizhoosh Nature Scientific Reports 12 (1953), 1-10, 2022 | 318 | 2022 |
| Decentralized federated learning through proxy model sharing S Kalra, J Wen, JC Cresswell, M Volkovs, HR Tizhoosh Nature communications 14 (1), 2899, 2023 | 94 | 2023 |
| Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G Stein, J Cresswell, R Hosseinzadeh, Y Sui, B Ross, V Villecroze, Z Liu, ... Advances in Neural Information Processing Systems 36, 2024 | 73 | 2024 |
| Verifying the Union of Manifolds Hypothesis for Image Data BCA Brown, AL Caterini, BL Ross, JC Cresswell, G Loaiza-Ganem International Conference on Learning Representations (ICLR 2023), 2023 | 52* | 2023 |
| Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows BL Ross, JC Cresswell Advances in Neural Information Processing Systems 34, 2021 | 39 | 2021 |
| CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds JC Cresswell, BL Ross, G Loaiza-Ganem, H Reyes-Gonzalez, M Letizia, ... NeurIPS 2022 Workshop on Machine Learning and the Physical Sciences, 2022 | 37 | 2022 |
| Disparate Impact in Differential Privacy from Gradient Misalignment MS Esipova, AA Ghomi, Y Luo, JC Cresswell International Conference on Learning Representations (ICLR 2023), 2023 | 25 | 2023 |
| Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G Loaiza-Ganem, BL Ross, JC Cresswell, AL Caterini Transactions on Machine Learning Research, 2022 | 23 | 2022 |
| Kinematic space for conical defects JC Cresswell, AW Peet Journal of High Energy Physics 2017 (11), 1-33, 2017 | 23 | 2017 |
| Holographic relations for OPE blocks in excited states JC Cresswell, IT Jardine, AW Peet Journal of High Energy Physics 2019 (03), 058, 2019 | 15 | 2019 |
| Conformal prediction sets improve human decision making JC Cresswell, Y Sui, B Kumar, N Vouitsis arXiv preprint arXiv:2401.13744, 2024 | 14 | 2024 |
| ProxyFL: Decentralized Federated Learning through Proxy Model Sharing S Kalra, J Wen, JC Cresswell, M Volkovs, HR Tizhoosh arXiv preprint arXiv:2111.11343, 2021 | 14 | 2021 |
| Find Your Friends: Personalized Federated Learning with the Right Collaborators Y Sui, J Wen, Y Lau, BL Ross, JC Cresswell NeurIPS 2022 Workshop on Federated Learning, 2022 | 13 | 2022 |
| A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models H Kamkari, BL Ross, R Hosseinzadeh, JC Cresswell, G Loaiza-Ganem arXiv preprint arXiv:2406.03537, 2024 | 9 | 2024 |
| Neural implicit manifold learning for topology-aware generative modelling BL Ross, G Loaiza-Ganem, AL Caterini, JC Cresswell ICML 2022 Workshop on Topology Algebra and Geometry in Machine Learning, 2022 | 9 | 2022 |
| Operational symmetries of entangled states I Tzitrin, AZ Goldberg, JC Cresswell Journal of Physics A: Mathematical and Theoretical 53 (9), 095304, 2020 | 9 | 2020 |
| Perturbative expansion of entanglement negativity using patterned matrix calculus JC Cresswell, I Tzitrin, AZ Goldberg Physical Review A 99 (1), 012322, 2019 | 9 | 2019 |
| Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections G Loaiza-Ganem, BL Ross, R Hosseinzadeh, AL Caterini, JC Cresswell arXiv preprint arXiv:2404.02954, 2024 | 8 | 2024 |
| Denoising Deep Generative Models G Loaiza-Ganem, BL Ross, L Wu, JP Cunningham, JC Cresswell, ... NeurIPS 2022 Workshop: I Can’t Believe It’s Not Better, 2022 | 8 | 2022 |
| Universal entanglement timescale for Rényi entropies JC Cresswell Physical Review A 97 (2), 022317, 2018 | 7 | 2018 |
Brendan Leigh RossLayer 6 AIVerified email at layer6.ai
