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Workshop
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Anomaly Detection in Networks via Score-Based Generative Models
Dmitrii Gavrilev · Evgeny Burnaev
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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
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Workshop
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Graph Neural Network Powered Bayesian Optimization for Large Molecular Spaces
Miles Wang-Henderson · Bartu Soyuer · Parnian Kassraie · Andreas Krause · Ilija Bogunovic
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Affinity Workshop
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Mon 19:15
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1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
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Poster
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Wed 17:00
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Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
Brian Irwin · Eldad Haber · Raviv Gal · Avi Ziv
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Workshop
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A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
Adam Perrett · Danny Wood · Gavin Brown
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Workshop
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Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum
Amnon Geifman · Daniel Barzilai · Ronen Basri · Meirav Galun
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Workshop
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Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
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Workshop
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How to Select Physics-Informed Neural Networks in the Absence of Ground Truth: A Pareto Front-Based Strategy
Zhao Wei · Jian Cheng Wong · Nicholas Sung · Abhishek Gupta · Chin Chun Ooi · Pao-Hsiung Chiu · My Ha Dao · Yew Soon ONG
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Workshop
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Sparse Function-space Representation of Neural Networks
Aidan Scannell · Riccardo Mereu · Paul Chang · Ella Tamir · Joni Pajarinen · Arno Solin
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Affinity Workshop
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Mon 19:15
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Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals
Denise Magdalena Alonso Vazquez · Tonatiuh Hernández-Del-Toro · Omar Mendoza-Montoya · Ricardo Caraza · Hector Martinez · Carlos Reyes-Garcia · Javier M. Antelis
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Workshop
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HINT: Hierarchical Coherent Networks For Constrained Probabilistic Forecasting
Kin Gutierrez · David Luo · Cristian Challu · Stefania La Vattiata · Max Mergenthaler Canseco · Artur Dubrawski
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