Konrad P. Kording
- Tackling Climate Change with Machine Learning
2019/06/10 by David Rolnick, Rolnick, David, Priya L. Donti +48 · 16 voices · 35 citations
Computer Science · Engineering · Environmental Science · Mathematics · #cs.CY #cs.AI #cs.LG #stat.ML
- What does it mean to understand a neural network?
2019/07/15 by Timothy Lillicrap, Timothy P. Lillicrap, Konrad P. Körding +3 · 4 voices · 5 citations
Computer Science · Neuroscience · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Applications #Neural dynamics and brain function #Cell Image Analysis Techniques
- The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
2024/12/02 by Philippe Brouillard, Chandler Squires, Brouillard, Philippe +12 · 3 voices · 8 citations
Decision Sciences · Computer Science · #Data Quality and Management #Semantic Web and Ontologies #Bayesian Modeling and Causal Inference
- Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
2024/11/01 by Georgios Mentzelopoulos, Mentzelopoulos, Georgios, Evangelos Chatzipantazis +15 · 1 voice · 11 citations
Neuroscience · #EEG and Brain-Computer Interfaces #Neural dynamics and brain function #Functional Brain Connectivity Studies
- Prospective Learning: Principled Extrapolation to the Future
2022/01/19 by Ashwin De Silva, Rahul Ramesh, De Silva, Ashwin +91 · 2 voices · 2 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #Domain Adaptation and Few-Shot Learning #cs.AI #cs.LG
- Physical Principles for Scalable Neural Recording
2013/06/24 by Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire +15 · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #q-bio.NC #physics.bio-ph
- Causal inference on human behaviour
2024/08/23 by Drew H. Bailey, Alexander J. Jung, Adriene M. Beltz +12 · 1 voice · 9 citations
Mathematics · Psychology · Social Sciences · #Advanced Causal Inference Techniques #Mental Health Research Topics #School Choice and Performance
- Self-Expressive Decompositions for Matrix Approximation and Clustering
2015/05/04 by Eva L. Dyer, Tom Goldstein, Tom A. Goldstein +9 · 1 citation
Computer Science · Engineering · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #cs.CV #cs.IT #cs.LG #math.IT #stat.ML
- Empirical influence functions to understand the logic of fine-tuning
2024/06/01 by Jordan Matelsky, Jordan K. Matelsky, Lyle Ungar +5 · 1 voice
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #cs.AI #cs.LG
- Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units
2025/06/24 by Shrey Dixit, Kayson Fakhar, Dixit, Shrey +10 · 2 voices · 1 citation
Computer Science · Physics and Astronomy · #Computability, Logic, AI Algorithms #Neural Networks and Applications #Statistical Mechanics and Entropy #cs.AI #cs.LG