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Cresswell, Jesse C.

  1. CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
    2022/11/23 by Cresswell, Jesse C., Ross, Brendan Leigh, Loaiza-Ganem, Gabriel +3 · 11 citations
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
  2. Verifying the Union of Manifolds Hypothesis for Image Data
    2022/07/06 by Bradley C. A. Brown, Brown, Bradley C. A., Anthony L. Caterini +7 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Single-cell and spatial transcriptomics
  3. CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
    2024/10/28 by Krause, Claudius, Giannelli, Michele Faucci, Kasieczka, Gregor +66 · 21 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG)
  4. Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections
    2024/04/03 by Gabriel Loaiza-Ganem, Loaiza-Ganem, Gabriel, Brendan Leigh Ross +7 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cellular Automata and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Disparate Impact in Differential Privacy from Gradient Misalignment
    2022/06/15 by Maria S. Esipova, Esipova, Maria S., Atiyeh Ashari Ghomi +5 · 5 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  6. Conformal Prediction Sets Improve Human Decision Making
    2024/01/24 by Cresswell, Jesse C., Sui, Yi, Kumar, Bhargava +1 · 7 citations
    #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. A Geometric Framework for Understanding Memorization in Generative Models
    2024/10/31 by Brendan Leigh Ross, Hamidreza Kamkari, Ross, Brendan Leigh +13 · 2 voices · 6 citations
    #stat.ML #cs.LG
  8. CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
    2025/06/09 by Vahid Balazadeh, Balazadeh, Vahid, Hamidreza Kamkari +12 · 3 voices · 6 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
  9. A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
    2024/06/05 by Hamidreza Kamkari, Kamkari, Hamidreza, Brendan Leigh Ross +7 · 5 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Topological and Geometric Data Analysis
  10. TabDPT: Scaling Tabular Foundation Models on Real Data
    2024/10/23 by Junwei Ma, Valentin Thomas, Ma, Junwei +17 · 5 citations
    Computer Science · #Error Correcting Code Techniques
  11. Conformal Prediction Sets Can Cause Disparate Impact
    2024/10/02 by Jesse C. Cresswell, Cresswell, Jesse C., Bhargava Kumar +5 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  12. MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
    2024/10/16 by Gorti, Satya Krishna, Gofman, Ilan, Liu, Zhaoyan +5 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. Self-supervised Representation Learning From Random Data Projectors
    2023/10/11 by Yi Sui, Sui, Yi, Tongzi Wu +13 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Speech Recognition and Synthesis
  14. Data-Efficient Multimodal Fusion on a Single GPU
    2023/12/15 by Vouitsis, Noël, Liu, Zhaoyan, Gorti, Satya Krishna +5 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
    2021/06/09 by Ross, Brendan Leigh, Cresswell, Jesse C. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
    2022/04/14 by Loaiza-Ganem, Gabriel, Ross, Brendan Leigh, Cresswell, Jesse C. +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  17. Neural Implicit Manifold Learning for Topology-Aware Density Estimation
    2022/06/22 by Ross, Brendan Leigh, Loaiza-Ganem, Gabriel, Caterini, Anthony L. +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. A Geometric Explanation of the Likelihood OOD Detection Paradox
    2024/03/27 by Kamkari, Hamidreza, Ross, Brendan Leigh, Cresswell, Jesse C. +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Textual Bayes: Quantifying Uncertainty in LLM-Based Systems
    2025/06/11 by Ross, Brendan Leigh, Vouitsis, Noël, Ghomi, Atiyeh Ashari +8 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Scaling Up Diffusion and Flow-based XGBoost Models
    2024/08/28 by Cresswell, Jesse C., Kim, Taewoo · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
    2025/06/26 by Feng, Naihe, Sui, Yi, Hou, Shiyi +2 · 2 citations
    #FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR)