Poster Sessions
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Presenter: Abby Bertics (University of California, Santa Barbara (UCSB)) Collaborator(s): LuÃs Periera, Jean Carlson, Nina Miolane, Anna Calissano Title: Geodesic Metric Spaces Implementation for Graphs and Trees | Presenter: Catherine N D Drysdale (Lancaster University) Collaborator(s): Peter Kissack, Samuel Johnson Title: Using Non-normality and Trophic Coherence to Quantify Changes in Brain Network Structure |
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Presenter: Changjun Im (Seoul National University) Collaborator(s): Jeong Min Jeon Title: Local Fréchet Regression with Riemannian Predictors | Presenter: Hyeon Lee (UNC Chapel Hill) Collaborator(s): J. S. Marron Title: Analysis of Nonnegative Curves via Wasserstein-Fisher-Rao Distance |
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Presenter: Junyoung Park (University of Michigan) Collaborator(s): Irina Gaynanova Title: Fréchet regression of multivariate distributions with nonparanormal transport | Presenter: Wookyeong Song (Brown University) Collaborator(s): Paromita Dubey, Hans-Georg Müller, Alexander Petersen Title: Inference for Fréchet Regression |
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Presenter: Tai Yang (Department of Biostatistics, University of Michigan) Collaborator(s): Junyoung Park; Lars G. Fritsche; Irina Gaynanova Title: Genome-Wide Association Testing for Distributional Phenotypes via Wasserstein–Fréchet Regression |
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Presenter: Vijay Kumar (Habib University, Brown University) Collaborator(s): Joon Jin Song(Baylor University), Yuzi Zhong(The Ohio State University), Rebbeca Kurtz-Garcia(Smith College), Nan Lin(WashU St. Louis) and Zainab Mohammad(Oberlin College) Title: Bayesian Generative Calibration of Low-Cost Air Quality Sensors Data | Presenter: Shucheng Liu (University of North Carolina Chapel Hill) Collaborator(s): Changchun Shi, Kai Zhang, Hongtu Zhu Title: FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model |
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Presenter: Pengfei Lyu (Duke University) Collaborator(s): Title: Bias-Corrected Data Synthesis for Imbalanced Learning | Presenter: Dushyant Mehra (University of Texas Southwestern Medical Center) Collaborator(s): Harish Srinivasan, Bassel Dawod, Jian Zhou, Kevin Dean, Payal Kapur, Todd Aguilera Title: Reward Guided H&E-to-mIF Translation using via Multimodal Flow Maps with Compact Representation Autoencoders for Treatment Response Prediction |
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Presenter: Huy Nguyen (University of Texas, Austin) Collaborator(s): Thong Doan, Quang Pham, Nghi Bui, Nhat Ho, Alessandro Rinaldo Title: On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating | Presenter: Fred Peng (Duke University) Collaborator(s): Avishek Joey Bose (Imperial College London); Anru R. Zhang (Duke University); Alexander Tong (AITHYRA) Title: Coupling Models for One-Step Discrete Generation |
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Presenter: Zihua She (Purdue University) Collaborator(s): Jianxi Su, Xiao Wang Title: Coreset-Based Joint Source-Coupling Design for Flow Matching | Presenter: Borui Tang (University of North Carolina Chapel Hill) Collaborator(s): Yue Yang, Ting Li, Zehui Sun, Tengfei Li, Hongtu Zhu Title: Integrative Analysis of Plasma Proteomics and Magnetic Resonance Imaging for Alzheimer's Disease and Cognitive Function |
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Presenter: Amanda Wang (Cornell University) Collaborator(s): Tudor Manole, Florentina Bunea, John Thickstun Title: Fidelity-Diversity Metrics for Text Datasets | Presenter: xiaoyi wen (University of California, San Francisco (UCSF)) Collaborator(s): Fei Jiang Title: IWCAE: Importance-Weighted Conditional Autoencoders for Domain-Adaptive Generative Modeling |
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Presenter: Sichen Yang (Johns Hopkins University) Collaborator(s): Mauro Maggioni Title: Multi-level Meta-Reinforcement Learning with Skill-Based Curriculum | Presenter: Cheng Yu (University of Chicago) Collaborator(s): Title: Efficient Design and Inference for Long-Term Holdout Experiments with Predictive Distributions |
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Presenter: Yikun Zhang (University of Chicago and SkAI Institute) Collaborator(s): Steven Wilkins-Reeves, Wesley Lee, Aude Hofleitner Title: Transfer Learning Through Conditional Quantile Matching |
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Presenter: Jeonghyun Ahn (Massachusetts Institute of Technology (MIT)) Collaborator(s): Jacopo Borga (MIT), Yuyang Feng (University of Chicago), Ewain Gwynne (University of Chicago) Title: Directed distances in critical FK decorated planar maps | Presenter: Sepideh Azizi (Tufts University - University of Illinois Urbana-Champaign) Collaborator(s): Justin Hollander Title: Exploring Randomness and Spatial Structure in Indoor Movement Patterns Through Machine Learning-Based Trajectory Calibration |
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Presenter: Leonardo Bonanno (University of Chicago) Collaborator(s): Title: Parameterized Random Walks on Orthogonal Tilings | Presenter: Luis Brummet (Aalto University) Collaborator(s): Eveliina Peltola, Anne Schreuder Title: Levy driven Schramm-Loewner evolutions |
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Presenter: Charles Devlin (University of Chicago) Collaborator(s): Title: Strong LQG Metric Coordinate Change | Presenter: Yuyang Feng (University of Chicago) Collaborator(s): Title: The scaling limit of loop-erased percolation interface on UIHPT |
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Presenter: Christian Gorski (University of Washington) Collaborator(s): Karoline Dubin and Marcus Michelen Title: Geometry of the giant component of random geometric graphs | Presenter: Brin Harper (University of Chicago) Collaborator(s): Manan Bhatia and Ewain Gwynne Title: Dimension lower bounds in random geometry via Lipschitz functions |
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Presenter: David Kogan (Yale University) Collaborator(s): Title: Asymptotic Face Distributions in Random Reduced SL(3) Webs | Presenter: Vlad Margarint (University of North Carolina Charlotte) Collaborator(s): Title: The Resolvent Method, SLE Theory and Random Matrix Theory |
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Presenter: Ron Nissim (Massachusetts Institute of Technology (MIT)) Collaborator(s): Title: From Weingarten Functions to Random Trees and the Brownian CRT | Presenter: Minjae Park (Auburn University) Collaborator(s): Andres Contreras Hip, Avelio Sepulveda Title: Mixed Liouville Observables on SLE Curves |
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Presenter: Tanner J Reese (University of Arizona) Collaborator(s): Sunder Sethuraman Title: Crystal Growth on Locally Finite Partially Ordered Sets | Presenter: Yi Tian (University of Cambridge) Collaborator(s): Emmanuel Kammerer, Konstantinos Kavvadias, Jason Miller Title: The conformally invariant metric on CLE(4) |
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Presenter: Priyanjali Bukke (University of Virginia) Collaborator(s): Martin Slawski Title: A General Framework for Inference After Record Linkage | Presenter: Jae Ho Chang (The Ohio State University) Collaborator(s): Arnab Auddy, Subhadeep Paul Title: Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes (VANEB) |
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Presenter: Min-Yi Chen (Iowa State University) Collaborator(s): Jae-Kwang Kim, Yumou Qiu Title: Soft-Constrained Bregman Calibration | Presenter: Xinlei Chen (University of Pittsburgh) Collaborator(s): Title: Federated Learning of Robust Individualized Decision Rules with Application to Heterogeneous Multihospital Sepsis Population |
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Presenter: Aoran Chen (Pennsylvania State University) Collaborator(s): Tun He, Yang Feng Title: Individualized Survival Prediction for Rare Cancers by Borrowing Strength from Related Tumor Types: A Pan-Cancer TCGA Analysis | Presenter: Elizabeth Willow Eisenhauer (Westat) Collaborator(s): Laura Gamble, Elizabeth Eisenhauer, Andreea Erciulescu, Rebecca Fink, Sarah Smith-Jeffcoat, Jefferson Jones, Bryan Spencer, Mars Stone, Michael Busch Title: Sampling and Weighting Strategies for Nonprobability Survey and Serology Data |
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Presenter: Shengtong Han (Marquette University) Collaborator(s): Dr. Di Wang; Dr. Wenhui Sheng; Nathanael Chu Title: Integrating multi-omics data through deep learning for prioritizing genes associated with autism | Presenter: Nel Jason Haw (Johns Hopkins University) Collaborator(s): Althoff, Keri; Agwu, Allison; Lesko, Catherine Title: Assembling a Synthetic Life Course Cohort to Study the Incidence of Non-AIDS-Defining Conditions among People with Perinatally Acquired HIV in the United States: A DATA FUSION STUDY |
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Presenter: Peiyu He (Duke University) Collaborator(s): Guanhua Chen Title: Learning Individualized Treatment Rules for a Target Population with Right-Censored Survival Outcomes | Presenter: Yonghan Jung (University of Illinois Urbana-Champaign) Collaborator(s): Title: TransPFN: Transportability-Inspired Causal Meta-Learning for OOD-Robust Causal Effects |
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Presenter: Hajoung Lee (Seoul National University) Collaborator(s): Kwonsang Lee Title: High-Dimensional Matching via Energy Distance Minimization | Presenter: Shan Leng (University of Wisconsin, Madison) Collaborator(s): Tianyi Yang, Peinan Hu, Yan Li, Fulai Jin, Mark P Keller, Alan D Attie, Sündüz Keleş Title: CascadeS2F: A Cascaded, Causality-Aware Sequence-to-Function Model Across Molecular Layers |
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Presenter: Tomoki Okuno (University of California, Los Angeles (UCLA)) Collaborator(s): Brendon Chau, Gang Li, Sijia Li, Hua Zhou, Jin Zhou Title: Semi-Supervised Causal Mediation Analysis with Partially Observed Mediators | Presenter: Isaac Scheinfeld (Columbia University) Collaborator(s): Hannah Li, Hongseok Namkoong Title: When Representative Samples Produce Worse Outcomes: Scale-up Decisions and Testing in Small-Budget RCTs |
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Presenter: MOOKYONG SON (Memorial Sloan-Kettering Cancer Center) Collaborator(s): Danya T. Hassan, Ronglai Shen, Katherine Panageas, Yuan Chen Title: Bayesian Neural Networks for Multi-Institutional, Multi-Modal Genomic Data Integration | Presenter: Yuyao Wang (Northeastern University) Collaborator(s): Alexander W. Levis, Shu Yang, Larry Han Title: History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes |
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Presenter: Yikun Zhang (University of Washington) Collaborator(s): Steven Wilkins-Reeves, Wesley Lee, Aude Hofleitner Title: Transfer Learning Through Conditional Quantile Matching | Presenter: Xinyuan Zhang (Georgia Institute of Technology) Collaborator(s): Benjamin Yakir, Yajun Mei Title: A Note on High-Dimensional Sparse Sequential Change-Point Detection |
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Presenter: Ke Zhu (North Carolina State University) Collaborator(s): Shu Yang, Xiaofei Wang Title: Robust Estimation and Inference in Hybrid Controlled Trials | Presenter: Jungang Zou (Department of Biostatistics at Columbia University) Collaborator(s): Joseph E. Schwartz, Roderick J. A. Little, Nathalie Moise, Qixuan Chen Title: Transporting Treatment Effects from Randomized Trials to EHR Populations using Bayesian Propensity Score Predictive Inference |
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Presenter: Matthew Albert (University of Toronto) Collaborator(s): Andrew Hardy, Valentin Crépel Title: Moiré models beyond a single valley | Presenter: Guilherme Botelho (University of Toronto) Collaborator(s): Valentin Crépel Title: Hatsugai-Kohmoto Model with Momentum-Mixing: Superconductivity and Magnetic Ordering |
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Presenter: Gefei Cai (Peking University) Collaborator(s): Title: Boundary four-point connectivities of conformal loop ensembles | Presenter: Drake Clark (University of Minnesota, Twin Cities) Collaborator(s): Yangshuai Wang, Sambit Das, Ziyan Zhu, Daniel Massatt, Vikram Gavini, Mitchell Luskin, Christoph Ortner Title: An Atomic Cluster Expansion Potential for Twisted Multilayer Graphene |
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Presenter: Matthew J Frazier (University of Chicago) Collaborator(s): Gullaume Bal Title: Topology in continuum photonics: Chern invariants, bulk-edge correspondence, and boundary regularity | Presenter: Michael Hott (Old Dominion University) Collaborator(s): Jeffrey Calder, Hao Lan, Mitchell Luskin, Ryan O'Neill, Alexander B. Watson Title: From microscopic to moiré scale continuum mechanical models |
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Presenter: Tianyu Kong (University of Minnesota, Twin Cities) Collaborator(s): Alexander B. Watson, Mitchell Luskin, Kevin D. Stubbs, Lin Lin Title: Continuum model and interactions for relaxed twisted bilayer graphene | Presenter: Collin J. Kovacs (University of Tennessee Knoxville) Collaborator(s): Jiangxu Li, Yang Zhang, Konstantinos D. Vogiatzis, Adrian Del Maestro, Vasileios Maroulas Title: Topological Fingerprints of Commensurate Order in Twisted Moiré Lattices |
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Presenter: Jichun Li (University of Nevada, Las Vegas) Collaborator(s): Title: Mathematical analysis and modeling of invisibility cloaks with metamaterials | Presenter: Wei Li (DePaul University) Collaborator(s): Junshan Lin, Jiayu Qiu, Hai Zhang Title: Topological Edge States in Sharply Joined Photonic Materials |
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Presenter: Solomon Quinn (Flatiron Institute) Collaborator(s): Guillaume Bal, Paul Cazeaux, Daniel Massatt Title: Macroscopic approximation of tight-binding models near spectral degeneracies and validity for wave packet propagation | Presenter: Tanner J Reese (University of Arizona) Collaborator(s): Sunder Sethuraman Title: Crystal Growth on Locally Finite Partially Ordered Sets |
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Presenter: DMITRII SHADRIN (University of Utah) Collaborator(s): Elena Cherkaev Title: Topological invariants for periodic crystals. | Presenter: Mengxuan Yang (Princeton University) Collaborator(s): Title: Real vector bundles over the torus and fragile topology |
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Presenter: Li Zhu (University of Minnesota, Duluth) Collaborator(s): Jichun Li Title: Finite Element Analysis of Surface Plasmon Polariton Propagation Along Graphene Interfaces |
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Presenter: Priyanka Sinha (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Title: A MARL Formulation of Personalized Federated Learning Mechanism | Presenter: Yonatan Ariel Slutzky (Tel Aviv University) Collaborator(s): Yotam Alexander, Noam Razin, Nadav Cohen Title: The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels |
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Presenter: Zirui Xu (University of Michigan) Collaborator(s): Vasileios Tzoumas Title: Self-Configurable Mesh-Networks for Scalable Distributed Submodular Bandit Optimization | Presenter: Chaorui Yao (University of California, Los Angeles (UCLA)) Collaborator(s): Yuming Paul Zhang, Lin Yang, Yuhua Zhu Title: A Model-Free Continuous-Time RL Algorithm from Off-Policy Data with End-to-End Guarantees |
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Presenter: Evan Welty Assmus (University of Michigan) Collaborator(s): Qining Zhang, Lei Ying Title: SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling | Presenter: Nirmit Joshi (Toyota Technological Institute at Chicago) Collaborator(s): Gene Li, Siddharth Bhandari, Shiva Kasiviswanathan, Cong Ma, Nathan Srebro Title: Learning to Answer Correct Demonstrations |
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Presenter: Kellen Kanarios (University of Michigan) Collaborator(s): Lei Ying Title: Motion Planning via Contrastive Reinforcement Learning and Monte-Carlo Tree Search | Presenter: Kihyun Kim (Massachusetts Institute of Technology (MIT)) Collaborator(s): Jiawei Zhang (University of Wisconsin-Madison), Asuman Ozdaglar (MIT), Pablo Parrilo (MIT) Title: A Linear Programming Framework for Offline Inverse Reinforcement Learning |
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Presenter: Chunyin Lei (University of California, Santa Barbara (UCSB)) Collaborator(s): Annie Qu Title: Risk-Aware Quantile Dynamic Treatment Regimes | Presenter: Pangpang Liu (Yale University) Collaborator(s): Junwei Lu (Harvard University), Will Wei Sun (Purdue University) Title: Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback |
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Presenter: Sunil Madhow (University of California, San Diego (UCSD)) Collaborator(s): Yuchen Liang, Yingbin Liang, Ness Shroff, Yu-Xiang Wang Title: Learnable Chernoff Baselines for Inference-Time Alignment | Presenter: Jongha Jon Ryu (Massachusetts Institute of Technology (MIT)) Collaborator(s): Jeongyeol Kwon (Meta), Benjamin Koppe (Cornell), Kwang-Sung Jun (POSTECH) Title: Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing |
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Presenter: Braham Snyder (University of Virginia) Collaborator(s): Haolin Liu, Chen-Yu Wei Title: On the Complexity of Offline Reinforcement Learning with Q^star-Approximation and Partial Coverage | Presenter: Deyi Wang (University of Michigan) Collaborator(s): Qining Zhang, Lei Ying Title: Efficient Federated RLHF via Zeroth-Order Policy Optimization |
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Presenter: Qining Zhang (University of Michigan) Collaborator(s): Lei Ying Title: Provable Preference-based Reinforcement Learning with an Unknown Link Function: A Stochastic Zeroth-Order Framework |
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Presenter: Chen Cheng (University of Michigan) Collaborator(s): Xun Huan Title: Optimal Stopping for Sequential Bayesian Experimental Design | Presenter: Thomas Dixon (University of Michigan) Collaborator(s): Alex Gorodetsky Title: Multi-fidelity Optimization under Uncertainty - A Stochastic Trust-Region Approach using Multi-fidelity Methods |
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Presenter: Eric Gelphman (Colorado School of Mines) Collaborator(s): Deepanshu Verma, Nicole Yang, Stanley Osher, Samy Wu Fung Title: Jacobian-Free Backpropagation for High-Dimensional Optimal Control with Implicit Hamiltonians | Presenter: Philipp A. Guth (RICAM, Austrian Academy of Sciences) Collaborator(s): K. Kunisch, S. S. Rodrigues, J. Schröder Title: Digital Twin Feedback for Uncertain Dynamical Systems |
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Presenter: Sebastian Gutierrez Hernandez (Georgia Institute of Technology) Collaborator(s): Haomin Zhou, Peng Chen Title: Multiple Input DeepONets for PDE-constrained dynamic optimal control under uncertainty | Presenter: Angan Mukherjee (University of Wisconsin, Madison) Collaborator(s): Victor M. Zavala Title: Data-Driven Dynamic Modeling and Uncertainty Quantification using Variational Inference |
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Presenter: Yaw Owusu-Agyemang (George Mason University) Collaborator(s): Harbir Antil, Denis Ridzal, Jimmie Adriazola, Rohit Khandelwal Title: Optimal Control of Maxwell’s Equations | Presenter: Felipe Perez (George Mason University) Collaborator(s): Harbir Anti, Keegan Kirk Title: Duality Framework for Flux Constrained Flow |
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Presenter: Kewei Wang (Courant Institute of Mathematical Sciences) Collaborator(s): Georg Stadler Title: Gaussian Process Regression Subject to Chance Constraints |
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Presenter: Diego Camilo Arenas (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha Title: Scalable Methods for Bayesian Sampling and MAP Estimation in Time-Varying Inverse Problems | Presenter: Nan Chen (University of Wisconsin, Madison) Collaborator(s): Title: CGKN: A Deep Learning Digital Twin Framework for Stochastic Modeling, Forecast, and Data Assimilation |
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Presenter: Nicolas Martin Guerra (Cornell University) Collaborator(s): Nicholas H. Nelsen, Yunan Yang Title: Learning Where to Learn: Training Distribution Selection for Provable OOD Performance | Presenter: Yixuan Jia (University of Michigan) Collaborator(s): Siyi Chen*, Yixuan Jia*, Qing Qu, He Sun, Jeffrey Fessler Title: FlowDAS: A Stochastic Interpolants-based Framework for Data Assimilation |
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Presenter: Aryeh Keating (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha Title: A Sequential Framework of Dimension-Reduced Expectation–Maximization with Optical Flow for Scalable Dynamic X-Ray CT | Presenter: Marco Mangano (Argonne National Laboratory) Collaborator(s): Sven Leyffer, Carlo Graziani, Paul Manns Title: Optimal experimental design for digital twins using a network-flow approach |
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Presenter: Aimee Maurais (Massachusetts Institute of Technology (MIT)) Collaborator(s): Bamdad Hosseini, Youssef Marzouk Title: Learning Paths for Dynamic Transport: A Control Perspective | Presenter: Charlotte Rose Moser (University of Wisconsin Madison) Collaborator(s): Pouria Behnoudfar, Marc Bocquet, Sibo Cheng, Nan Chen Title: Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators |
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Presenter: Sonia Reilly (New York University) Collaborator(s): Georg Stadler Title: Bayesian Inference for Latent Gaussian Models Governed by PDEs | Presenter: Rudi Smith (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha, Grey Ballard, Hussam Al Daas Title: Structured Sketching for Fast and Scalable Tucker Tensor Summation |
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Presenter: Liliang Wang (University of Michigan) Collaborator(s): Alex Gorodetsky Title: Towards understanding the errors in online Bayesian data assimilation | Presenter: Marissa Whitby (Stevens Institute of Technology) Collaborator(s): Kathrin Smetana, Tommaso Taddei, Zhiyu Yin Title: Probabilistic Error Analysis of a Randomized Proper Orthogonal Decomposition |