Maksim Kuznetsov @Max__Kuznetsov
Research Scientist at @InSilicoMeds Montréal, Québec Joined January 2018-
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Maksim Kuznetsov retweeted
I am excited to share that our BindGPT paper won the best poster award at @RealAAAI #AAAI2025! Congratulations to the team! Work led by @artemZholus!
I am excited to share that our BindGPT paper won the best poster award at @RealAAAI #AAAI2025! Congratulations to the team! Work led by @artemZholus! https://t.co/OzmlC3Babo
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Maksim Kuznetsov retweeted
BindGPT is going to be presented at AAAI 25 today. Work led by my PhD student @artemZholus in collaboration with @InSilicoMeds Don’t miss 10/10 bindgpt.github.io arxiv.org/abs/2406.03686 huggingface.co/insilicomedici…
Excited to present our new paper nach0 from @InSilicoMeds, in collaboration with @nvidia, published in @ChemicalScience: 📄 Paper: pubs.rsc.org/doi/d4sc00966e 💻 Code: github.com/insilicomedici… 🤗 Try it now on @huggingface: huggingface.co/insilicomedici…
Our new paper from @InSilicoMeds on neural conformation generation at @JCIM_JCTC “COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework” Paper: pubs.acs.org/doi/full/10.10… Code: github.com/insilicomedici…
Happy to present our latest results in @InSilicoMeds on molecular graph generation at #AAAI2021! Check out our joint work with @d_polykovskiy “MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation” at poster session on 5-Feb, 08:45-10:30 AM & 04:45-06:30 PM PST
Maksim Kuznetsov retweeted
Our new paper with @InSilicoMeds: "Molecular Generation for Desired Transcriptome Changes With AAE". We propose a joint model that can sample molecules for a given transcriptome change and vise versa. Paper: frontiersin.org/articles/10.33… Code: github.com/insilicomedici…
Maksim Kuznetsov retweeted
Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders. "In this paper, we propose a new generative model that infers drug molecules that could induce a desired change in gene expression" In #pytorch #pytorchLightning github.com/insilicomedici…
Maksim Kuznetsov retweeted
Check out our #AISTATS paper from @InSilicoMeds: “Deterministic Decoding for Discrete Data in Variational Autoencoders”. Apparently, for lossless decoding, you need bounded support proposals! arxiv.org/abs/2003.02174
I’m excited to share our new paper at #Neurips2019 with @d_polykovskiy, @alex_zhebrak, and Dmitry Vetrov made in @InSilicoMeds! A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models: arxiv.org/abs/1910.13148
Maksim Kuznetsov retweeted
We've got 4 papers accepted to #NeurIPS2019!
Check out a new paper from @InSilicoMeds in @NatureBiotech on the rapid compound hypothesis generation and testing with a powerful combination of variational inference, tensorial methods, and reinforcement learning! paper: nature.com/articles/s4158… code: github.com/insilicomedici…
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