Jesse C. Cresswell

57 papers A* 13Journal 41Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Procedure: Substantive Fairness in Conformal Prediction. CoRR Pengqi Liu, Zijun Yu, Mouloud Belbahri, Arthur Charpentier, Masoud Asgharian, Jesse C. Cresswell
2026	—	`conf`	Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems. EACL (Volume 1: Long Papers) Kin Kwan Leung, Mouloud Belbahri, Yi Sui, Alex Labach, Xueying Zhang, Stephen Rose, Jesse C. Cresswell
2025	A*	`conf`	A Geometric Framework for Understanding Memorization in Generative Models. ICLR Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2025	J	`jnl`	CausalPFN: Amortized Causal Effect Estimation via In-Context Learning. CoRR Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Benson Li, Junwei Ma, Jesse C. Cresswell, Rahul G. Krishnan
2025	J	`jnl`	Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems. CoRR Kin Kwan Leung, Mouloud Belbahri, Yi Sui, Alex Labach, Xueying Zhang, Stephen Rose, Jesse C. Cresswell
2025	A*	`conf`	Conformal Prediction Sets Can Cause Disparate Impact. ICLR Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri
2025	J	`jnl`	DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks. CoRR Wei Cui, Tongzi Wu, Jesse C. Cresswell, Yi Sui, Keyvan Golestan
2025	J	`jnl`	Document Summarization with Conformal Importance Guarantees. CoRR Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang, Kin Kwan Leung, Jullian Arta Yapeter, Ilya Stanevich, Felipe Pérez, Jesse C. Cresswell
2025	—	`conf`	MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation. NAACL (Long Papers) Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh
2025	J	`jnl`	MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction. CoRR Sepideh Abedini, Shubhankar Mohapatra, D. B. Emerson, Masoumeh Shafieinejad, Jesse C. Cresswell, Xi He
2025	A*	`conf`	Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality. SIGIR Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell, Ga Wu
2025	J	`jnl`	Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality. CoRR Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell, Ga Wu
2025	J	`jnl`	Self-Supervised Representation Learning as Mutual Information Maximization. CoRR Akhlaqur Rahman Sabby, Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu
2025	J	`jnl`	Textual Bayes: Quantifying Uncertainty in LLM-Based Systems. CoRR Brendan Leigh Ross, Noël Vouitsis, Atiyeh Ashari Ghomi, Rasa Hosseinzadeh, Ji Xin, Zhaoyan Liu, Yi Sui, Shiyi Hou, Kin Kwan Leung, Gabriel Loaiza-Ganem, Jesse C. Cresswell
2025	J	`jnl`	Trustworthy AI Must Account for Intersectionality. CoRR Jesse C. Cresswell
2025	J	`jnl`	Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications. CoRR Raunaq Suri, Ilan Gofman, Guangwei Yu, Jesse C. Cresswell
2024	A*	`conf`	A Geometric Explanation of the Likelihood OOD Detection Paradox. ICML Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G. Krishnan, Gabriel Loaiza-Ganem
2024	J	`jnl`	A Geometric Explanation of the Likelihood OOD Detection Paradox. CoRR Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G. Krishnan, Gabriel Loaiza-Ganem
2024	J	`jnl`	A Geometric Framework for Understanding Memorization in Generative Models. CoRR Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024	A*	`conf`	A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. NeurIPS Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024	J	`jnl`	A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. CoRR Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024	J	`jnl`	Augment then Smooth: Reconciling Differential Privacy with Certified Robustness. Trans. Mach. Learn. Res. Jiapeng Wu, Atiyeh Ashari Ghomi, David Glukhov, Jesse C. Cresswell, Franziska Boenisch, Nicolas Papernot
2024	J	`jnl`	Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks. CoRR Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic
2024	J	`jnl`	CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. CoRR Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang
2024	J	`jnl`	Conformal Prediction Sets Can Cause Disparate Impact. CoRR Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri
2024	A*	`conf`	Conformal Prediction Sets Improve Human Decision Making. ICML Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis
2024	J	`jnl`	Conformal Prediction Sets Improve Human Decision Making. CoRR Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis
2024	A*	`conf`	Data-Efficient Multimodal Fusion on a Single GPU. CVPR Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs
2024	J	`jnl`	Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections. CoRR Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell
2024	J	`jnl`	Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections. Trans. Mach. Learn. Res. Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell
2024	J	`jnl`	Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples. CoRR Noël Vouitsis, Rasa Hosseinzadeh, Brendan Leigh Ross, Valentin Villecroze, Satya Krishna Gorti, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024	J	`jnl`	MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation. CoRR Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh
2024	J	`jnl`	Neural Implicit Manifold Learning for Topology-Aware Density Estimation. Trans. Mach. Learn. Res. Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
2024	J	`jnl`	Scaling Up Diffusion and Flow-based XGBoost Models. CoRR Jesse C. Cresswell, Taewoo Kim
2024	A*	`conf`	Self-supervised Representation Learning from Random Data Projectors. ICLR Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
2024	J	`jnl`	TabDPT: Scaling Tabular Foundation Models. CoRR Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2023	J	`jnl`	Augment then Smooth: Reconciling Differential Privacy with Certified Robustness. CoRR Jiapeng Wu, Atiyeh Ashari Ghomi, David Glukhov, Jesse C. Cresswell, Franziska Boenisch, Nicolas Papernot
2023	J	`jnl`	Data-Efficient Multimodal Fusion on a Single GPU. CoRR Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs
2023	A*	`conf`	Disparate Impact in Differential Privacy from Gradient Misalignment. ICLR Maria S. Esipova, Atiyeh Ashari Ghomi, Yaqiao Luo, Jesse C. Cresswell
2023	A*	`conf`	Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. NeurIPS George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem
2023	J	`jnl`	Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. CoRR George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem
2023	J	`jnl`	Self-supervised Representation Learning From Random Data Projectors. CoRR Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
2023	A*	`conf`	Verifying the Union of Manifolds Hypothesis for Image Data. ICLR Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2022	J	`jnl`	CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds. CoRR Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Humberto Reyes-González, Marco Letizia, Anthony L. Caterini
2022	—	`conf`	Denoising Deep Generative Models. ICBINB Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini
2022	J	`jnl`	Denoising Deep Generative Models. CoRR Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini
2022	J	`jnl`	Diagnosing and Fixing Manifold Overfitting in Deep Generative Models. CoRR Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
2022	J	`jnl`	Diagnosing and Fixing Manifold Overfitting in Deep Generative Models. Trans. Mach. Learn. Res. Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
2022	J	`jnl`	Disparate Impact in Differential Privacy from Gradient Misalignment. CoRR Maria S. Esipova, Atiyeh Ashari Ghomi, Yaqiao Luo, Jesse C. Cresswell
2022	J	`jnl`	Find Your Friends: Personalized Federated Learning with the Right Collaborators. CoRR Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell
2022	J	`jnl`	Neural Implicit Manifold Learning for Topology-Aware Generative Modelling. CoRR Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
2022	J	`jnl`	The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling. CoRR Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2021	A*	`conf`	C-Learning: Horizon-Aware Cumulative Accessibility Estimation. ICLR Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg
2021	J	`jnl`	ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
2021	A*	`conf`	Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows. NeurIPS Brendan Leigh Ross, Jesse C. Cresswell
2021	J	`jnl`	Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows. CoRR Brendan Leigh Ross, Jesse C. Cresswell
2020	J	`jnl`	C-Learning: Horizon-Aware Cumulative Accessibility Estimation. CoRR Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg