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Poster
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Wed 9:00
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Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
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Poster
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Wed 14:00
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The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S Bandeira · Ahmed El Alaoui · Samuel Hopkins · Tselil Schramm · Alexander S Wein · Ilias Zadik
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Workshop
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Phase transitions and structure formation in learning local rules
Bojan Žunkovič · Enej Ilievski
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Poster
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Thu 14:00
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Embodied Scene-aware Human Pose Estimation
Zhengyi Luo · Shun Iwase · Ye Yuan · Kris Kitani
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Workshop
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Learning Controllable Adaptive Simulation for Multi-scale Physics
Tailin Wu · Takashi Maruyama · Qingqing Zhao · Gordon Wetzstein · Jure Leskovec
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Workshop
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Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators
Haydn Maust · Zongyi Li · Yixuan Wang · Anima Anandkumar
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Poster
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Tue 9:00
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Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li · Jeff M Phillips · Xin Yu · Robert Kirby · Shandian Zhe
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Workshop
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Certified data-driven physics-informed greedy auto-encoder simulator
Xiaolong He · Youngsoo Choi · William Fries · Jon Belof · Jiun-Shyan Chen
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Workshop
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Computing the Bayes-optimal classifier and exact maximum likelihood estimator with a semi-realistic generative model for jet physics
Kyle Cranmer · Matthew Drnevich · Lauren Greenspan · Sebastian Macaluso · Duccio Pappadopulo
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Poster
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Wed 9:00
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Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard · Michael Scherbela · Philipp Marquetand · Philipp Grohs
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Poster
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Thu 9:00
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Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Andrew M. Childs · Tongyang Li · Jin-Peng Liu · Chunhao Wang · Ruizhe Zhang
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Poster
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Wed 14:00
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AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari
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