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Avishek Joey Bose

  1. SE(3)-Stochastic Flow Matching for Protein Backbone Generation
    2023/10/03 by Avishek Joey Bose, Bose, Avishek Joey, Tara Akhound-Sadegh +19 · 3 voices · 47 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · #cs.LG #cs.AI
  2. Metric Flow Matching for Smooth Interpolations on the Data Manifold
    2024/05/23 by Kacper Kapuśniak, Peter Potaptchik, Kapuśniak, Kacper +15 · 2 voices · 31 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Methods and Algorithms #cs.LG #stat.ML
  3. Riemannian Diffusion Models
    2022/08/16 by Chin‐Wei Huang, Milad Aghajohari, Huang, Chin-Wei +7 · 22 citations
    Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Advanced Neuroimaging Techniques and Applications #Human Pose and Action Recognition
  4. The Superposition of Diffusion Models Using the Itô Density Estimator
    2024/12/23 by Marta Skreta, Skreta, Marta, Lazar Atanackovic +7 · 5 voices · 15 citations
    Mathematics · #Statistical Methods and Inference
  5. Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
    2024/02/09 by Tara Akhound-Sadegh, Jarrid Rector-Brooks, Akhound-Sadegh, Tara +21 · 33 citations
    Computer Science · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  6. Compositional Fairness Constraints for Graph Embeddings
    2019/05/25 by Avishek Joey Bose, William L. Hamilton, Bose, Avishek Joey +1 · 9 citations
    Computer Science · Social Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  7. Latent Variable Modelling with Hyperbolic Normalizing Flows
    2020/02/15 by Avishek Joey Bose, Bose, Avishek Joey, Ariella Smofsky +7 · 11 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  8. Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
    2023/02/09 by Marco Jiralerspong, Avishek Joey Bose, Jiralerspong, Marco +5 · 11 citations
    Computer Science · #Advanced Statistical Modeling Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
    2024/05/30 by Guillaume Huguet, James Vuckovic, Huguet, Guillaume +21 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Viral Infectious Diseases and Gene Expression in Insects
  10. Meta-Graph: Few Shot Link Prediction via Meta Learning
    2019/12/20 by Avishek Joey Bose, Ankit Kumar Jain, Bose, Avishek Joey +5 · 9 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Topic Modeling #Complex Network Analysis Techniques
  11. Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
    2024/06/12 by Damien Ferbach, Quentin Bertrand, Ferbach, Damien +5 · 3 voices · 7 citations
    Computer Science · Mathematics · #68T10 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CV #cs.LG #stat.ML
  12. Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
    2024/10/10 by Jarrid Rector-Brooks, Rector-Brooks, Jarrid, Mohsin Hasan +21 · 11 citations
    Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Scalable Equilibrium Sampling with Sequential Boltzmann Generators
    2025/02/25 by Charlie Tan, Avishek Joey Bose, Tan, Charlie B. +9 · 20 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  14. Adversarial Contrastive Estimation
    2018/05/09 by Avishek Joey Bose, Huan Ling, Bose, Avishek Joey +3 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  15. Adversarial Example Games
    2020/07/01 by Avishek Joey Bose, Gauthier Gidel, Bose, Avishek Joey +11 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications
  16. Autoregressive Boltzmann Generators
    2026/06/25 by Danyal Rehman, Charlie B. Tan, Yoshua Bengio +2 · 1 voice
    #cs.LG #cs.AI
  17. OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
    2025/12/07 by Emily Jin, Jin, Emily, Andrei Cristian Nica +19 · 1 voice · 1 citation
    Materials Science · Chemistry · Computer Science · #Machine Learning in Materials Science #Crystallography and molecular interactions #Computational Drug Discovery Methods
  18. Improving Exploration in Soft-Actor-Critic with Normalizing Flows\n Policies
    2019/06/06 by Patrick Ward, Ward, Patrick Nadeem, Ariella Smofsky +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  19. General Multimodal Protein Design Enables DNA-Encoding of Chemistry
    2026/04/06 by Jarrid Rector-Brooks, Théophile Lambert, Marta Skreta +15 · 3 voices
    #cs.LG