Trond Linjordet
@tlinjordet
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Joined April 2017
RT @BalcellsD: Now out in JACS Au, our inverse design model for transition metal chemistry, supporting generative tasks conditioned by liga….
pubs.acs.org
Deep generative models yielding transition metal complexes (TMCs) remain scarce despite the key role of these compounds in industrial catalytic processes, anticancer therapies, and the energy...
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RT @BalcellsD: Interested on deep generative AI for metal complexes? Check out the updated preprint on our JT-VAE model, now conditioning o….
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RT @BalcellsD: New preprint! We developed a SMILES-based encoding of M–L bonds to optimize a generative VAE model yielding metal ligands wi….
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RT @vinaysetty: @tlinjordet Presenting our work on novel evaluation measures for KGQA. at @acm_ictir @SIGIRConf #SIGIR2022 @IAI_group @UniS….
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RT @krisztianbalog: “Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering” w/ @tl….
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RT @ictir2020: ICTIR'20 program is ready, we have 2 keynotes, 6 industry talks and more see We will be using a coo….
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RT @krisztianbalog: "Impact of Training Dataset Size on Neural Answer Selection Models" w/ @tlinjordet accepted as short paper at #ecir2019.
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