Allen, Carl

12 publications

TMLR 2024 A Probabilistic Model Behind Self- Supervised Learning Alice Bizeul, Bernhard Schölkopf, Carl Allen

TMLR 2024 Variational Classification: A Probabilistic Generalization of the SoftMax Classifier Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen

NeurIPSW 2023 SimVAE: Narrowing the Gap Between Discriminative & Generative Representation Learning Alice Bizeul, Carl Allen

NeurIPSW 2023 SimVAE: Narrowing the Gap Between Discriminative & Generative Representation Learning Alice Bizeul, Carl Allen

NeurIPSW 2023 Variational Classification Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen

NeurIPSW 2023 Variational Classification Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen

NeurIPS 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max Paulus, Joachim M Buhmann, Carl Allen

ICLR 2021 Interpreting Knowledge Graph Relation Representation from Word Embeddings Carl Allen, Ivana Balazevic, Timothy Hospedales

ICML 2019 Analogies Explained: Towards Understanding Word Embeddings Carl Allen, Timothy Hospedales

NeurIPS 2019 Multi-Relational Poincaré Graph Embeddings Ivana Balazevic, Carl Allen, Timothy Hospedales

ICMLW 2019 TuckER: Tensor Factorization for Knowledge Graph Completion Ivana Balazevic, Carl Allen, Timothy Hospedales

NeurIPS 2019 What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen, Ivana Balazevic, Timothy Hospedales