Ole Winther

1. Can large language models reason about medical questions?
   2022/07/17 by Valentin Liévin, Christoffer Hother, Liévin, Valentin +6 · 2 voices · 27 citations
   Computer Science · Medicine · #Topic Modeling #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare
2. SignalP 6.0 predicts all five types of signal peptides using protein language models
   2022/01/03 by Felix Teufel, José Juan Almagro Armenteros, Alexander Rosenberg Johansen +7 · 73 citations
   Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Machine Learning in Bioinformatics #vaccines and immunoinformatics approaches
3. Ladder Variational Autoencoders
   2016/02/06 by Casper Kaae Sønderby, Tapani Raiko, Sønderby, Casper Kaae +7 · 24 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Machine Learning in Healthcare
4. SignalP 6.0 predicts all five types of signal peptides using protein language models
   2022/07/01 by Felix Teufel, José Juan Almagro Armenteros, Alexander Rosenberg Johansen +7 · 33 citations
   Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #RNA and protein synthesis mechanisms
5. Auxiliary Deep Generative Models
   2016/02/17 by Lars Maaløe, Casper Kaae Sønderby, Maaløe, Lars +5 · 27 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Advanced Neural Network Applications
6. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks
   2022/04/10 by Jeppe Hallgren, Konstantinos D. Tsirigos, Mads Damgaard Pedersen +5 · 1 voice · 18 citations
   Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
7. Hash Embeddings for Efficient Word Representations
   2017/09/12 by Dan Tito Svenstrup, Jonas Meinertz Hansen, Svenstrup, Dan +3 · 10 citations
   Computer Science · #Topic Modeling #Advanced Image and Video Retrieval Techniques #Algorithms and Data Compression
8. Unifying Molecular and Textual Representations via Multi-task Language Modelling
   2023/01/29 by Dimitrios Christofidellis, Christofidellis, Dimitrios, Giorgio Giannone +9 · 14 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Topic Modeling #Computational Drug Discovery Methods
9. Recurrent Relational Networks
   2017/11/21 by Rasmus Palm, Palm, Rasmus Berg, Ulrich Paquet +3 · 7 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #Video Analysis and Summarization
10. Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
    2023/05/29 by Giorgio Giannone, Giannone, Giorgio, Akash Srivastava +5 · 11 citations
    Engineering · #BIM and Construction Integration #Computational Engineering #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
11. Generalization and Robustness Implications in Object-Centric Learning
    2021/07/01 by Andrea Dittadi, Samuele Papa, Dittadi, Andrea +8 · 6 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
    2019/02/06 by Lars Maaløe, M. Fraccaro, Maaløe, Lars +5 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
13. Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics
    2023/05/29 by Mathias Schreiner, Ole Winther, Schreiner, Mathias +3 · 6 citations
    Materials Science · Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Materials Science #Protein Structure and Dynamics #Gaussian Processes and Bayesian Inference
14. On the Transfer of Disentangled Representations in Realistic Settings
    2020/10/27 by Andrea Dittadi, Dittadi, Andrea, Frederik Träuble +13 · 2 citations
    Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Generative Adversarial Networks and Image Synthesis
15. Image-free Classifier Injection for Zero-Shot Classification
    2023/08/21 by Anders Nymark Christensen, Christensen, Anders, Massimiliano Mancini +7 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
16. Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
    2023/02/23 by Raluca Jalaboi, Ole Winther, Jalaboi, Raluca +3 · 1 citation
    Medicine · #68T45 #92B20 #92C50 #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
17. Generative Diffusion Models for Sequential Recommendations
    2024/10/25 by Sharare Zolghadr, Zolghadr, Sharare, Ole Winther +3 · 1 citation
    Computer Science · #Recommender Systems and Techniques