Results 71 to 80 of about 38,951,336 (344)
Rewriting a Deep Generative Model [PDF]
European Conference on Computer Vision, 2020 A deep generative model such as a GAN learns to model a rich set of semantic and physical rules about the target distribution, but up to now, it has been obscure how such rules are encoded in the network, or how a rule could be changed. In this paper, we
David Bau +4 more
semanticscholar +1 more source
From 'scientific revolution' to 'unscientific revolution': an analysis of approaches to the history of generative linguistics [PDF]
, 2010 This paper is devoted to the challenge that generative linguistics poses for linguistic historiography. As a first step, it presents a systematic overview of 19 approaches to the history of generative linguistics.
Kertész, András
core +1 more source
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks [PDF]
Computer Vision and Pattern Recognition, 2019 This paper studies model-inversion attacks, in which the access to a model is abused to infer information about the training data. Since its first introduction by~\cite{fredrikson2014privacy}, such attacks have raised serious concerns given that training
Yuheng Zhang +5 more
semanticscholar +1 more source
Multimeasurement Generative Models
CoRR, 2021 Our code is publicly available at https://github.com/nnaisense ...
Saeed Saremi, Rupesh Kumar Srivastava
openaire +4 more sources
Coordinate noun phrase disambiguation in a generative parsing model [PDF]
, 2007 In this paper we present methods for improving the disambiguation of noun phrase (NP) coordination within the framework of a lexicalised history-based parsing model.
Hogan, Deirdre
core +1 more source
Depth Estimation From a Light Field Image Pair With a Generative Model
IEEE Access, 2019 In this paper, we propose a novel method to estimate the disparity maps from a light field image pair captured by a pair of light field cameras. Our method integrates two types of critical depth cues, which are separately inferred from the epipolar plane
Tao Yan +5 more
doaj +1 more source
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Nature MethodsGenerative pretrained models have achieved remarkable success in various domains such as language and computer vision. Specifically, the combination of large-scale diverse datasets and pretrained transformers has emerged as a promising approach for ...
Haotian Cui +6 more
semanticscholar +1 more source
Using Artificial Intelligence (AI) Generative Technologies For Business Model Design with IDEATe Process: A Speculative Viewpoint [PDF]
PurposeArtificial Intelligence (AI) and the more recent generative technologies are disrupting many activities related to strategy and operations within organizations. Business model design is no exception. We define business model design as an iterative
Lecocq, Xavier +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source