Rahul G. Krishnan

1. Variational Autoencoders for Collaborative Filtering
   2018/02/16 by Dawen Liang, Rahul G. Krishnan, Liang, Dawen +5 · 42 citations
   Computer Science · #Recommender Systems and Techniques #Music and Audio Processing #Generative Adversarial Networks and Image Synthesis
2. Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
   2022/06/06 by Richard J. Chen, Chen, Richard J., Chengkuan Chen +11 · 40 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cell Image Analysis Techniques #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging
3. Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
   2023/05/19 by Augustin Toma, Toma, Augustin, Patrick R. Lawler +9 · 16 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
4. DuETT: Dual Event Time Transformer for Electronic Health Records
   2023/04/25 by Alex Labach, Labach, Alex, Aslesha Pokhrel +13 · 4 citations
   Computer Science · Health Professions · #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Artificial Intelligence in Healthcare
5. Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
   2022/03/01 by Richard J. Chen, Rahul G. Krishnan, Chen, Richard J. +1 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Mycobacterium research and diagnosis #Tissues and Organs (q-bio.TO)
6. CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
   2025/06/09 by Vahid Balazadeh, Hamidreza Kamkari, Balazadeh, Vahid +12 · 3 voices · 6 citations
   Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
7. A generalizable 3D framework and model for self-supervised learning in medical imaging
   2025/01/20 by Tony Xu, Xu, Tony, Sepehr Hosseini +11 · 7 citations
   Medicine · Engineering · Computer Science · #Medical Imaging Techniques and Applications #Medical Imaging and Analysis #Medical Image Segmentation Techniques
8. Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
   2025/05/24 by Chen-Hao Chao, Wei-Fang Sun, Chao, Chen-Hao +7 · 8 citations
   Arts and Humanities · #Art, Politics, and Modernism #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
   2024/06/01 by Jacob Si, Wendy Yusi Cheng, Si, Jacob +5 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Neural Networks and Applications
10. AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
    2024/11/26 by Alexander Capstick, Capstick, Alexander, Rahul G. Krishnan +3 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
11. End-To-End Causal Effect Estimation from Unstructured Natural Language Data
    2024/07/09 by Nikita Dhawan, Leonardo Cotta, Dhawan, Nikita +7 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Bayesian Modeling and Causal Inference
12. Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
    2024/04/10 by Vahid Balazadeh, Keertana Chidambaram, Balazadeh, Vahid +7 · 2 voices · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
13. HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
    2022/08/03 by Weiming Ren, Ren, Weiming, Ruijing Zeng +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · #Biomedical Text Mining and Ontologies #Machine Learning in Healthcare #Medical Coding and Health Information
14. Structured Neural Networks for Density Estimation and Causal Inference
    2023/11/03 by Asic Q. Chen, Ruian Shi, Chen, Asic Q. +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
15. Personalized Adaptation via In-Context Preference Learning
    2024/10/17 by Allison R. Lau, Lau, Allison, Younwoo Choi +9 · 1 citation
    Engineering · #Building Energy and Comfort Optimization #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
16. Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference
    2026/03/12 by Valentyn Melnychuk, Vahid Balazadeh, Stefan Feuerriegel +1 · 1 voice · 1 citation
    #cs.LG