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Workshop
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Image-computable Bayesian model for 3D motion estimation with natural stimuli explains human biases
Daniel Herrera-Esposito · Johannes Burge
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Tutorial
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Mon 5:30
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Deep dive on foundation models for computer vision
Pin-Yu Chen
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Workshop
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Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
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Poster
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Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo · Guang Tan
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Workshop
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Normative Modeling on Multimodal Neuroimaging Data using Variational Autoencoders
Sayantan Kumar · Philip Payne
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Affinity Workshop
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Enhancing Epidemiological Surveillance Systems Using Dynamic Modeling: A Scoping Review
ADEGBOYEGA ADEBAYO
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Poster
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Tue 14:00
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Revisiting Neural Scaling Laws in Language and Vision
Ibrahim Alabdulmohsin · Behnam Neyshabur · Xiaohua Zhai
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Workshop
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Assessing Robustness of Image Recognition Models to Changes in the Computational Environment
Nikolaos Louloudakis · Perry Gibson · José Cano · Ajitha Rajan
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Poster
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Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Xinyun Zhu · Yu Qi · Gang Pan · Yueming Wang
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Workshop
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Fri 14:00
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A report on recent experimental tests of two predictions of contemporary computable models of the biological deep neural network underling primate visual intelligence
James J DiCarlo
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Workshop
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Few-Shot Diffusion Models
Giorgio Giannone · Didrik Nielsen · Ole Winther
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Poster
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Tue 9:00
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Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li
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