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Jesse C. Cresswell
Jesse C. Cresswell
Layer 6 AI
Verified email at layer6.ai - Homepage
Title
Cited by
Cited by
Year
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
2682022
Decentralized federated learning through proxy model sharing
S Kalra, J Wen, JC Cresswell, M Volkovs, HR Tizhoosh
Nature communications 14 (1), 2899, 2023
662023
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
492024
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
47*2023
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
BL Ross, JC Cresswell
Advances in Neural Information Processing Systems 34, 2021
342021
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
312022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
G Loaiza-Ganem, BL Ross, JC Cresswell, AL Caterini
Transactions on Machine Learning Research, 2022
232022
Kinematic space for conical defects
JC Cresswell, AW Peet
Journal of High Energy Physics 2017 (11), 1-33, 2017
232017
Disparate Impact in Differential Privacy from Gradient Misalignment
MS Esipova, AA Ghomi, Y Luo, JC Cresswell
International Conference on Learning Representations (ICLR 2023), 2023
212023
Holographic relations for OPE blocks in excited states
JC Cresswell, IT Jardine, AW Peet
Journal of High Energy Physics 2019 (03), 058, 2019
152019
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing
S Kalra, J Wen, JC Cresswell, M Volkovs, HR Tizhoosh
arXiv preprint arXiv:2111.11343, 2021
142021
Conformal prediction sets improve human decision making
JC Cresswell, Y Sui, B Kumar, N Vouitsis
arXiv preprint arXiv:2401.13744, 2024
112024
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
102022
Operational symmetries of entangled states
I Tzitrin, AZ Goldberg, JC Cresswell
Journal of Physics A: Mathematical and Theoretical 53 (9), 095304, 2020
92020
Perturbative expansion of entanglement negativity using patterned matrix calculus
JC Cresswell, I Tzitrin, AZ Goldberg
Physical Review A 99 (1), 012322, 2019
92019
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
82022
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
72022
Universal entanglement timescale for Rényi entropies
JC Cresswell
Physical Review A 97 (2), 022317, 2018
72018
Conformal embedding flows: Tractable density estimation on learned manifolds
BL Ross, JC Cresswell
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
52021
A Geometric Explanation of the Likelihood OOD Detection Paradox
H Kamkari, BL Ross, JC Cresswell, AL Caterini, RG Krishnan, ...
arXiv preprint arXiv:2403.18910, 2024
42024
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