Winther, Ole
- Can large language models reason about medical questions?
2022/07/17 by Valentin Liévin, Christoffer Egeberg Hother, Liévin, Valentin +6 · 2 voices · 33 citations
Computer Science · Medicine · #Topic Modeling #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare
- Ladder Variational Autoencoders
2016/02/06 by Casper Kaae Sønderby, Sønderby, Casper Kaae, Tapani Raiko +7 · 40 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Machine Learning in Healthcare
- Autoencoding beyond pixels using a learned similarity metric
2015/12/31 by Anders Larsen, Larsen, Anders Boesen Lindbo, Søren Kaae Sønderby +5 · 40 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Image and Video Retrieval Techniques #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)
- Auxiliary Deep Generative Models
2016/02/17 by Lars Maaløe, Maaløe, Lars, Casper Kaae Sønderby +5 · 45 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Advanced Neural Network Applications
- A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
2017/10/16 by M. Fraccaro, Fraccaro, Marco, Simon Kamronn +5 · 10 citations
Computer Science · Physics and Astronomy · #Advanced Image Processing Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Hash Embeddings for Efficient Word Representations
2017/09/12 by Dan Tito Svenstrup, Svenstrup, Dan, Jonas Meinertz Hansen +3 · 10 citations
Computer Science · #Topic Modeling #Advanced Image and Video Retrieval Techniques #Algorithms and Data Compression
- Transition1x -- a Dataset for Building Generalizable Reactive Machine Learning Potentials
2022/07/25 by Mathias Schreiner, Arghya Bhowmik, Schreiner, Mathias +7 · 15 citations
Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning in Materials Science #Topic Modeling
- Unifying Molecular and Textual Representations via Multi-task Language Modelling
2023/01/29 by Dimitrios Christofidellis, Christofidellis, Dimitrios, Giorgio Giannone +9 · 16 citations
Materials Science · Computer Science · #Machine Learning in Materials Science #Topic Modeling #Computational Drug Discovery Methods
- Sequential Neural Models with Stochastic Layers
2016/05/24 by Fraccaro, Marco, Sønderby, Søren Kaae, Paquet, Ulrich +1 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
2023/05/29 by Giorgio Giannone, Akash Srivastava, Giannone, Giorgio +5 · 14 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)
- Recurrent Relational Networks
2017/11/21 by Rasmus Palm, Palm, Rasmus Berg, Ulrich Paquet +3 · 8 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #Video Analysis and Summarization
- BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
2019/02/06 by Lars Maaløe, Maaløe, Lars, M. Fraccaro +5 · 8 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
- Generalization and Robustness Implications in Object-Centric Learning
2021/07/01 by Andrea Dittadi, Dittadi, Andrea, Samuele Papa +8 · 7 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)
- 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
- On the Transfer of Disentangled Representations in Realistic Settings
2020/10/27 by Andrea Dittadi, Frederik Träuble, Dittadi, Andrea +13 · 4 citations
Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Generative Adversarial Networks and Image Synthesis
- Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks
2021/07/13 by Busk, Jonas, Jørgensen, Peter Bjørn, Bhowmik, Arghya +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- BEND: Benchmarking DNA Language Models on biologically meaningful tasks
2023/11/21 by Frederikke Isa Marin, Felix Teufel, Marin, Frederikke Isa +11 · 6 citations
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #RNA and protein synthesis mechanisms
- NeuralNEB -- Neural Networks can find Reaction Paths Fast
2022/07/20 by Schreiner, Mathias, Bhowmik, Arghya, Vegge, Tejs +2 · 3 citations
#Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- DiffEnc: Variational Diffusion with a Learned Encoder
2023/10/30 by Beatrix M.G. Nielsen, Anders Lyhne Christensen, Nielsen, Beatrix M. G. +5 · 4 citations
Computer Science · Physics and Astronomy · #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) #Model Reduction and Neural Networks #Topic Modeling
- Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces
2023/05/10 by Busk, Jonas, Schmidt, Mikkel N., Winther, Ole +2 · 3 citations
#Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
2020/07/06 by Nielsen, Didrik, Jaini, Priyank, Hoogeboom, Emiel +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Protein Secondary Structure Prediction with Long Short Term Memory Networks
2014/12/25 by Søren Kaae Sønderby, Ole Winther, Sønderby, Søren Kaae +1 · 2 citations
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Neural and Evolutionary Computing (cs.NE) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
- Recurrent Spatial Transformer Networks
2015/09/17 by Søren Kaae Sønderby, Casper Kaae Sønderby, Sønderby, Søren Kaae +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Solar Radiation and Photovoltaics #Visual Attention and Saliency Detection
- 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
- The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
2021/07/12 by Dittadi, Andrea, Träuble, Frederik, Wüthrich, Manuel +7 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- DermX: an end-to-end framework for explainable automated dermatological diagnosis
2022/02/14 by Raluca Jalaboi, Frederik Faye, Jalaboi, Raluca +9 · 1 citation
Medicine · #68T45 #92B20 #92C50 #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Explainable Image Quality Assessments in Teledermatological Photography
2022/09/10 by Raluca Jalaboi, Jalaboi, Raluca, Ole Winther +3 · 1 citation
Medicine · #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
- 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)
- Generative Diffusion Models for Sequential Recommendations
2024/10/25 by Sharare Zolghadr, Ole Winther, Zolghadr, Sharare +3 · 1 citation
Computer Science · #Recommender Systems and Techniques
- Geometry Fidelity for Spherical Images
2024/07/25 by Anders Lyhne Christensen, Nooshin Mojab, Christensen, Anders +13 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques