Haeffele, Benjamin D.

10 publications

L4DC 2025 Nonconvex Linear System Identification with Minimal State Representation Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar Ziemann, Rene Vidal

JMLR 2024 White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma

ICCV 2023 Unsupervised Manifold Linearizing and Clustering Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

CVPR 2022 Efficient Maximal Coding Rate Reduction by Variational Forms Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

ICML 2022 Understanding Doubly Stochastic Clustering Tianjiao Ding, Derek Lim, Rene Vidal, Benjamin D Haeffele

ICML 2021 Understanding the Dynamics of Gradient Flow in Overparameterized Linear Models Salma Tarmoun, Guilherme Franca, Benjamin D Haeffele, Rene Vidal

ICCVW 2019 Adaptive Online K-Subspaces with Cooperative Re-Initialization Connor Lane, Benjamin D. Haeffele, René Vidal

ICCVW 2019 Classifying and Comparing Approaches to Subspace Clustering with Missing Data Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal

AISTATS 2018 Dropout as a Low-Rank Regularizer for Matrix Factorization Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal

CVPR 2017 Global Optimality in Neural Network Training Benjamin D. Haeffele, Rene Vidal