Gavin Kerrigan

1. Functional Flow Matching
   2023/05/26 by Gavin Kerrigan, Kerrigan, Gavin, Giosue Migliorini +3 · 14 citations
   Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
2. Diffusion Generative Models in Infinite Dimensions
   2022/12/01 by Gavin Kerrigan, Justin Ley, Kerrigan, Gavin +3 · 12 citations
   Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Music and Audio Processing
3. Dynamic Conditional Optimal Transport through Simulation-Free Flows
   2024/04/05 by Gavin Kerrigan, Giosue Migliorini, Kerrigan, Gavin +3 · 1 voice · 14 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #cs.LG
4. Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
   2021/09/29 by Gavin Kerrigan, Kerrigan, Gavin, Padhraic Smyth +3 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
5. Precipitation Downscaling with Spatiotemporal Video Diffusion
   2023/12/11 by Prakhar Srivastava, Ruihan Yang, Srivastava, Prakhar +11 · 8 citations
   Earth and Planetary Sciences · Environmental Science · #Cryospheric studies and observations #Climate variability and models #Meteorological Phenomena and Simulations
6. Guided Diffusion Sampling on Function Spaces with Applications to PDEs
   2025/05/22 by Jiachen Yao, Abbas Mammadov, Yao, Jiachen +11 · 10 citations
   Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
7. EventFlow: Forecasting Temporal Point Processes with Flow Matching
   2024/10/09 by Gavin Kerrigan, Kerrigan, Gavin, Padhraic Smyth +2 · 3 citations
   Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reservoir Engineering and Simulation Methods #Stock Market Forecasting Methods #Time Series Analysis and Forecasting