Jesse C. Cresswell

Most-cited papers

Federated learning and differential privacy for medical image analysis
Mohammed Adnan, S. Kalra, Jesse C. Cresswell, Graham W. Taylor +1 more
2021Scientific Reports472 citations Open access
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Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
G. Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui +6 more
2023Neural Information Processing Systems276 citations Open access
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Decentralized federated learning through proxy model sharing
S. Kalra, Junfeng Wen, Jesse C. Cresswell, M. Volkovs +1 more
2021Nature Communications201 citations Open access
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TabDPT: Scaling Tabular Foundation Models on Real Data
Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Alex Labach +6 more
2024Neural Information Processing Systems138 citations Open access
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Verifying the Union of Manifolds Hypothesis for Image Data
B. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell +1 more
2022International Conference on Learning Representations88 citations
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CaloChallenge 2022: a community challenge for fast calorimeter simulation
Claudius Krause, Michele Faucci Giannelli, G. Kasieczka, B. Nachman +65 more
2024Reports on progress in physics. Physical Society74 citations Open access
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CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Ben-Ran Li +3 more
2025Neural Information Processing Systems60 citations
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Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections
G. Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini +1 more
2024Trans. Mach. Learn. Res.60 citations
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CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
Jesse C. Cresswell, Brendan Leigh Ross, G. Loaiza-Ganem, H. Reyes-González +2 more
2022arXiv.org58 citations Open access
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A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh +4 more
2024International Conference on Learning Representations52 citations
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A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell +1 more
2024Neural Information Processing Systems51 citations
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Conformal Prediction Sets Improve Human Decision Making
Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis
2024International Conference on Machine Learning49 citations
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Disparate Impact in Differential Privacy from Gradient Misalignment
Maria S. Esipova, Atiyeh Ashari Ghomi, Yaqiao Luo, Jesse C. Cresswell
2022International Conference on Learning Representations45 citations Open access
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Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Brendan Leigh Ross, Jesse C. Cresswell
2021Neural Information Processing Systems39 citations
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MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
S. Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu +4 more
2024North American Chapter of the Association for Computational Linguistics38 citations
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Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
G. Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
2022Trans. Mach. Learn. Res.37 citations Open access
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A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini +2 more
2024International Conference on Machine Learning30 citations
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Self-supervised Representation Learning From Random Data Projectors
Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu +4 more
2023International Conference on Learning Representations24 citations Open access
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Conformal Prediction Sets Can Cause Disparate Impact
Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri
2024International Conference on Learning Representations21 citations
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Kinematic space for conical defects
Jesse C. Cresswell, A.W. Peet
2017Journal of High Energy Physics20 citations Open access
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Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis, Zhaoyan Liu, S. Gorti, Valentin Villecroze +4 more
2023Computer Vision and Pattern Recognition18 citations Open access
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Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems
K. Leung, Mouloud Belbahri, Yi Sui, Alex Labach +3 more
2025Conference of the European Chapter of the Association for Computational Linguistics16 citations
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Find Your Friends: Personalized Federated Learning with the Right Collaborators
Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross +1 more
2022arXiv.org14 citations Open access
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The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling
B. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell +1 more
2022arXiv.org14 citations Open access
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Holographic relations for OPE blocks in excited states
Jesse C. Cresswell, Ian T. Jardine, A.W. Peet
2018Journal of High Energy Physics13 citations Open access
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Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell +1 more
2025Annual International ACM SIGIR Conference on Research and Development in Information Retrieval11 citations Open access
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Scaling Up Diffusion and Flow-based XGBoost Models
Jesse C. Cresswell, Taewoo Kim
2024arXiv.org10 citations
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Denoising Deep Generative Models
G. Loaiza-Ganem, Brendan Leigh Ross, Lu-Huan Wu, J. Cunningham +2 more
2022ICBINB10 citations Open access
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Neural Implicit Manifold Learning for Topology-Aware Generative Modelling
Brendan Leigh Ross, G. Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
2022arXiv.org10 citations Open access
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A universal entanglement timescale for R\'enyi entropies
Jesse C. Cresswell
20179 citations Open access
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Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems
Brendan Leigh Ross, Noël Vouitsis, Atiyeh Ashari Ghomi, Rasa Hosseinzadeh +7 more
20258 citations
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Textual Bayes: Quantifying Uncertainty in LLM-Based Systems
Brendan Leigh Ross, Noël Vouitsis, Atiyeh Ashari Ghomi, Rasa Hosseinzadeh +7 more
2025arXiv.org8 citations
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Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Jiapeng Wu, Atiyeh Ashari Ghomi, D. Glukhov, Jesse C. Cresswell +2 more
2023Trans. Mach. Learn. Res.8 citations Open access
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Document Summarization with Conformal Importance Guarantees
Bruce Kuwahara, Chen Lin, Xiao-Shi Huang, K. Leung +4 more
2025Neural Information Processing Systems7 citations
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Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui +5 more
2024arXiv.org7 citations
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Neural Implicit Manifold Learning for Topology-Aware Density Estimation
Brendan Leigh Ross, G. Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
2022Trans. Mach. Learn. Res.7 citations
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Causal Foundation Models with Continuous Treatments
Christopher Stith, M. Barath, Vahid Balazadeh, Jesse C. Cresswell +1 more
2026arXiv.org6 citations
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MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
Sepideh Abedini, Shubhankar Mohapatra, David B. Emerson, Masoumeh Shafieinejad +2 more
2025arXiv.org6 citations
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Operational symmetries of entangled states
I. Tzitrin, A. Goldberg, Jesse C. Cresswell
2019Journal of Physics A: Mathematical and Theoretical6 citations Open access
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Perturbative expansion of entanglement negativity using patterned matrix calculus
Jesse C. Cresswell, A. Goldberg, I. Tzitrin
2018Physical Review A6 citations Open access
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Trustworthy AI Must Account for Interactions
Jesse C. Cresswell
20255 citations
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Conformal Embedding Flows: Tractable Density Estimation on Learned Manifolds
Brendan Leigh Ross, Jesse C. Cresswell
20214 citations
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Conformal Agent Error Attribution
Naihe Feng, Yijun Sui, Shiyi Hou, Ga Wu +1 more
2026arXiv.org3 citations
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DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui, Tongzi Wu, Jesse C. Cresswell, Yi Sui +1 more
2025arXiv.org3 citations
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C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian, G. Loaiza-Ganem, H. Braviner, Anthony L. Caterini +3 more
2020International Conference on Learning Representations3 citations
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Beyond Procedure: Substantive Fairness in Conformal Prediction
Peng Liu, Zi-Jun Yu, Mouloud Belbahri, Arthur Charpentier +2 more
2026arXiv.org2 citations
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Lorenz gauge quantization in conformally flat spacetimes
Jesse C. Cresswell, D. Vollick
20152 citations Open access
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Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents
Dae Yon Hwang, R. Suri, Valentin Villecroze, Anthony L. Caterini +3 more
2026arXiv.org1 citations
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On the Burden of Achieving Fairness in Conformal Prediction
Ziang Gao, Peng Liu, Archer Y. Yang, Mouloud Belbahri +2 more
2026arXiv.org1 citations
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RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
Zhen-Wei Tang, Zhaoyan Liu, Rasa Hosseinzadeh, Tongzi Wu +2 more
2026arXiv.org1 citations
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