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Tommi Jaakkola โ most-cited papers & profile ยท AI for Science
โ authors
ยท
overview
Tommi Jaakkola
58
papers ยท
4409
citations ยท
92
h-index
IIT@MIT ยท Massachusetts Institute of Technology
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Analyzing Learned Molecular Representations for Property Prediction
2019 ยท 1771 citations
Junction Tree Variational Autoencoder for Molecular Graph Generation
2018 ยท 718 citations
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
2022 ยท 348 citations
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
2017 ยท 191 citations
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations
2022 ยท 167 citations
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
2018 ยท 154 citations
Hierarchical Generation of Molecular Graphs using Structural Motifs
2020 ยท 110 citations
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
2022 ยท 100 citations
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
2022 ยท 97 citations
Multi-Objective Molecule Generation using Interpretable Substructures
2020 ยท 88 citations
Torsional Diffusion for Molecular Conformer Generation
2022 ยท 85 citations
AlphaFold Meets Flow Matching for Generating Protein Ensembles
2024 ยท 83 citations
SE(3) diffusion model with application to protein backbone generation
2023 ยท 71 citations
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023 ยท 54 citations
EigenFold: Generative Protein Structure Prediction with Diffusion Models
2023 ยท 39 citations
Top co-authors
Regina Barzilay
ยท 24
Wengong Jin
ยท 12
Bowen Jing
ยท 6
Bonnie Berger
ยท 5
Hannes St\"ark
ยท 5
Gabriele Corso
ยท 4
Tess Smidt
ยท 4
Albert Musaelian
ยท 3
Benson Chen
ยท 3
Boris Kozinsky
ยท 3
Jason Yim
ยท 3
Kevin Yang
ยท 3
Topics
Chemistry
Drug Discovery
Protein Science
Materials
Physics ML
Medical AI
Climate & Weather
Genomics