Korablyov, Maksym
- Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
2021/06/08 by Emmanuel Bengio, Bengio, Emmanuel, Moksh Jain +7 · 52 citations
Materials Science · Computer Science · #Machine Learning in Materials Science #Machine Learning and Algorithms #Topic Modeling
- SE(3)-Stochastic Flow Matching for Protein Backbone Generation
2023/10/03 by Avishek Joey Bose, Tara Akhound-Sadegh, Bose, Avishek Joey +19 · 3 voices · 33 citations
Biochemistry, Genetics and Molecular Biology · Engineering · #cs.LG #cs.AI
- Learning GFlowNets from partial episodes for improved convergence and stability
2022/09/26 by Kanika Madan, Jarrid Rector-Brooks, Madan, Kanika +15 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- DEUP: Direct Epistemic Uncertainty Prediction
2021/02/16 by Salem Lahlou, Lahlou, Salem, Moksh Jain +13 · 10 citations
Computer Science · Decision Sciences · #Machine Learning and Algorithms #Machine Learning and Data Classification #Advanced Bandit Algorithms Research
- Generative Active Learning for the Search of Small-molecule Protein Binders
2024/05/02 by Korablyov, Maksym, Liu, Cheng-Hao, Jain, Moksh +31 · 1 citation
#Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)