Andreas Loukas
23 papers · 2017–2024 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 22% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Andreas Loukas?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Kyunghyun Cho, Vladimir Gligorijevic, Karolis Martinkus
5 papers
· 2022–2024
· NeurIPS, ICML, ICLR
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Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
NeurIPS 2024
Protein Discovery with Discrete Walk-Jump Sampling
ICLR 2024
AbDiffuser: full-atom generation of in-vitro functioning antibodies
NeurIPS 2023
Towards Understanding and Improving GFlowNet Training
ICML 2023
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
ICML 2022
6 papers whose co-authors appear nowhere else under this name
Building powerful and equivariant graph neural networks with structural message-passing
NeurIPS 2020
Graph Coarsening with Preserved Spectral Properties
AISTATS 2020
How hard is to distinguish graphs with graph neural networks?
NeurIPS 2020
What graph neural networks cannot learn: depth vs width
ICLR 2020
Graph Reduction with Spectral and Cut Guarantees
JMLR 2019
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?
ICML 2017