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Doug Tischer

dblp:322/1924 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Generative modeling · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling
diffusion model
0.712023
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem · ICLR 2023
Machine learning › Generative modeling › flow matching
protein backbone generation
0.712023
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem · ICLR 2023
Bioinformatics and computational biology › protein design
motif scaffolding
0.712023
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem · ICLR 2023
Bioinformatics and computational biology › protein design
protein structure design
0.712023
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem · ICLR 2023

Methods — techniques the papers use, named apart from their topics

diffusion probabilistic modeling · 1.33d generative modeling · 1.3
YearPublicationVenuePosition
2023 Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
Brian L. Trippe, Jason Yim, Doug Tischer, David Baker 0001, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola
ICLR3