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02/17/2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Imperfect score-matching leads to a shift between the training and the s...
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11/30/2022
Multiresolution Textual Inversion
We extend Textual Inversion to learn pseudo-words that represent a conce...
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10/14/2022
Zonotope Domains for Lagrangian Neural Network Verification
Neural network verification aims to provide provable bounds for the outp...
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09/12/2022
Soft Diffusion: Score Matching for General Corruptions
We define a broader family of corruption processes that generalizes prev...
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06/01/2022
Discovering the Hidden Vocabulary of DALLE-2
We discover that DALLE-2 seems to have a hidden vocabulary that can be u...
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03/02/2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
The Lipschitz constant of a neural network is a useful metric for provab...
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02/21/2019
Quantifying Perceptual Distortion of Adversarial Examples
Recent work has shown that additive threat models, which only permit the...
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12/26/2017
