Bloem-Reddy, Benjamin

1. On the Benefits of Invariance in Neural Networks
   2020/05/01 by Lyle, Clare, van der Wilk, Mark, Kwiatkowska, Marta +2 · 7 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Lossy Compression for Lossless Prediction
   2021/06/21 by Yann Dubois, Dubois, Yann, Benjamin Bloem-Reddy +5 · 8 citations
   Computer Science · #Advanced Data Compression Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Indeterminacy in Generative Models: Characterization and Strong Identifiability
   2022/06/02 by Quanhan Xi, Benjamin Bloem-Reddy, Xi, Quanhan +1 · 6 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
4. Counterfactual Cocycles: A Framework for Robust and Coherent Counterfactual Transports
   2024/05/22 by Hugh Dance, Dance, Hugh, Benjamin Bloem-Reddy +1 · 4 citations
   Arts and Humanities · Computer Science · #Philosophy and History of Science #Bayesian Modeling and Causal Inference
5. Distinguishing Cause from Effect with Causal Velocity Models
   2025/02/07 by Xi, Johnny, Dance, Hugh, Orbanz, Peter +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
6. Mixed Variational Flows for Discrete Variables
   2023/08/29 by Gian Carlo Diluvi, Diluvi, Gian Carlo, Benjamin Bloem-Reddy +3 · 2 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
7. Non-parametric Hypothesis Tests for Distributional Group Symmetry
   2023/07/28 by Kenny Chiu, Chiu, Kenny, Benjamin Bloem-Reddy +1 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Random Matrices and Applications #Statistical Methods and Inference
8. Randomization Tests for Conditional Group Symmetry
   2024/12/18 by Chiu, Kenny, Sharp, Alex, Bloem-Reddy, Benjamin · 1 citation
   #62G10 #62H05 #62H15 #62P35 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
9. Identifying Metric Structures of Deep Latent Variable Models
   2025/02/19 by Stas Syrota, Yevgen Zainchkovskyy, Syrota, Stas +7 · 2 citations
   Computer Science · #Graph Theory and Algorithms #Semantic Web and Ontologies #Data Visualization and Analytics