Joshua T. Vogelstein

1. Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
   2019/09/25 by Adam Li, Li, Adam, Ronan Perry +15 · 1 citation
   Computer Science · Neuroscience · #68T05 #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Prospective Learning: Principled Extrapolation to the Future
   2022/01/19 by Ashwin De Silva, Rahul Ramesh, De Silva, Ashwin +81 · 2 voices
   #cs.LG #cs.AI
3. The Value of Out-of-Distribution Data
   2022/08/23 by Ashwin De Silva, Rahul Ramesh, Carey E. Priebe +2 · 1 voice
   Computer Science · Mathematics · #cs.LG #cs.AI #cs.CV #stat.ML
4. Simple Lifelong Learning Machines
   2020/04/27 by Jayanta Dey, Dey, Jayanta, Joshua T. Vogelstein +27 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Prospective Learning: Learning for a Dynamic Future
   2024/10/31 by Ashwin De Silva, De Silva, Ashwin, R. Ramesh +9 · 2 citations
   Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Higher Education Learning Practices #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
   2023/03/08 by Tianyi Chen, Youngser Park, Chen, Tianyi +23 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Neuroscience · Chemistry · #Gene Regulatory Network Analysis #Neural dynamics and brain function #thermodynamics and calorimetric analyses