Achan, Kannan

13 publications

ICMLW 2023 LLM-Based Aspect Augmentations for Recommendation Systems Reza Yousefi Maragheh, Lalitesh Morishetti, Ramin Giahi, Kaushiki Nag, Jianpeng Xu, Jason Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan
ICLR 2022 From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation Da Xu, Yuting Ye, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
ICLR 2021 A Temporal Kernel Approach for Deep Learning with Continuous-Time Information Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
ICML 2021 Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: The Theoretical Perspectives Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
NeurIPS 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
ICLR 2020 Inductive Representation Learning on Temporal Graphs Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
NeurIPS 2019 Self-Attention with Functional Time Representation Learning Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
NeurIPS 2008 Continuously-Adaptive Discretization for Message-Passing Algorithms Michael Isard, John MacCormick, Kannan Achan
AISTATS 2005 Variational Speech Separation of More Sources than Mixtures Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi
ICML 2004 Learning to Cluster Using Local Neighborhood Structure Rómer Rosales, Kannan Achan, Brendan J. Frey
NeurIPS 2003 Probabilistic Inference of Speech Signals from Phaseless Spectrograms Kannan Achan, Sam T. Roweis, Brendan J. Frey
ICCV 2003 Unsupervised Image Translation Rómer Rosales, Kannan Achan, Brendan J. Frey
UAI 2001 A Factorized Variational Technique for Phase Unwrapping in Markov Random Field Kannan Achan, Brendan J. Frey, Ralf Koetter