Tahseen Rabbani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Convolution Kernel

Distributed Learning

Theoretical Considerations

Top Venues

Publications

Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR (2024)
Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
Benchmarking the Robustness of Image Watermarks. CoRR (2024)
Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR (2024)
Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR (2024)
Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). CoRR (2024)
Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR (2023)
Tahseen Rabbani, Marco Bornstein, Furong Huang
Large-Scale Distributed Learning via Private On-Device LSH. NeurIPS (2023)
Tahseen Rabbani, Marco Bornstein, Furong Huang
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. CoRR (2023)
Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR (2022)
Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS (2022)
Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang
Practical and Fast Momentum-Based Power Methods. MSML (2021)
Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang
Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching. CoRR (2021)
Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang
Practical and Fast Momentum-Based Power Methods. CoRR (2021)
Alexander Reustle, Tahseen Rabbani, Furong Huang
Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks. IntelliSys (1) (2020)