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Workshop
Cost-effective Reduced-Order Modeling via Bayesian Active Learning
Amir Hossein Rahmati · Nathan Urban · Byung-Jun Yoon · Xiaoning Qian
Workshop
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing
Indu Kant Deo · Youngsoo Choi · Saad Khairallah · Alexandre Reikher · Maria Strantza
Workshop
Scalable nonlinear manifold reduced order model for dynamical systems
Ivan Zanardi · Alejandro N. Diaz · Seung Whan Chung · Marco Panesi · Youngsoo Choi
Workshop
Physics-informed reduced order model with conditional neural fields
Minji Kim · Tianshu Wen · Kookjin Lee · Youngsoo Choi
Workshop
Evaluating Language Models Planning Capabilities on Goal Ordering Challenges
Eran Hirsch · Guy Uziel · Ateret Anaby Tavor
Workshop
Higher-order cumulants in diffusion models
Gert Aarts · Ntiaa Entin Habibi · Lingxiao Wang · Kai Zhou
Poster
Fri 11:00 Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
Susung Hong
Workshop
Models Can and Should Embrace the Communicative Nature of Human-Generated Math
Sasha Boguraev · Ben Lipkin · Leonie Weissweiler · Kyle Mahowald
Poster
Fri 11:00 Parametric model reduction of mean-field and stochastic systems via higher-order action matching
Jules Berman · Tobias Blickhan · Benjamin Peherstorfer
Workshop
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha · Abbavaram Gowtham Reddy · Abhinav Kumar · Saketh Bachu · Vineeth N Balasubramanian · Amit Sharma
Workshop
Sat 11:15 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha · Abbavaram Gowtham Reddy · Abhinav Kumar · Saketh Bachu · Vineeth N Balasubramanian · Amit Sharma
Poster
Wed 11:00 No-Regret Bandit Exploration based on Soft Tree Ensemble Model
Shogo Iwazaki · Shinya Suzumura