Bloem-Reddy, Benjamin

13 publications

ICML 2025 Distinguishing Cause from Effect with Causal Velocity Models Johnny Xi, Hugh Dance, Peter Orbanz, Benjamin Bloem-Reddy

ICML 2025 Identifying Metric Structures of Deep Latent Variable Models Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg

ICLRW 2025 Identifying Metric Structures of Deep Latent Variable Models Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg

AISTATS 2024 Mixed Variational Flows for Discrete Variables Gian C. Diluvi, Benjamin Bloem-Reddy, Trevor Campbell

NeurIPSW 2023 Hypothesis Tests for Distributional Group Symmetry with Applications to Particle Physics Kenny Chiu, Benjamin Bloem-Reddy

AISTATS 2023 Indeterminacy in Generative Models: Characterization and Strong Identifiability Quanhan Xi, Benjamin Bloem-Reddy

NeurIPSW 2023 Triangular Monotonic Generative Models Can Perform Causal Discovery Quanhan Xi, Sebastian Gonzalez, Benjamin Bloem-Reddy

NeurIPSW 2021 Beauty in Machine Learning: Fluency and Leaps Benjamin Bloem-Reddy

NeurIPS 2021 Lossy Compression for Lossless Prediction Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J Maddison

ICLRW 2021 Lossy Compression for Lossless Prediction Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison

JMLR 2020 Probabilistic Symmetries and Invariant Neural Networks Benjamin Bloem-Reddy, Yee Whye Teh

UAI 2018 Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh

ICML 2016 Slice Sampling on Hamiltonian Trajectories Benjamin Bloem-Reddy, John Cunningham