Functional generative design of mechanisms with recurrent neural networks and novelty search. - Cameron R. Wolfe; Cem Celal Tutum; Risto Miikkulainen (GECCO, 2019)

Data Augmentation for Deep Transfer Learning. - Cameron R. Wolfe; Keld T. Lundgaard (CoRR, 2019)

GIST: Distributed Training for Large-Scale Graph Convolutional Networks. - Cameron R. Wolfe; Jingkang Yang; Arindam Chowdhury; Chen Dun; Artun Bayer; Santiago Segarra; Anastasios Kyrillidis (CoRR, 2021)

Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs. - Junhyung Lyle Kim; Jose Antonio Lara Benitez; Mohammad Taha Toghani; Cameron R. Wolfe; Zhiwei Zhang 001; Anastasios Kyrillidis (CoRR, 2021)

Exceeding the Limits of Visual-Linguistic Multi-Task Learning. - Cameron R. Wolfe; Keld T. Lundgaard (CoRR, 2021)

Provably Efficient Lottery Ticket Discovery. - Cameron R. Wolfe; Qihan Wang; Junhyung Lyle Kim; Anastasios Kyrillidis (CoRR, 2021)

Demon: Improved Neural Network Training With Momentum Decay. - John Chen 002; Cameron R. Wolfe; Zhao Li; Anastasios Kyrillidis (ICASSP, 2022)

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. - Cheng Wan 005; Youjie Li; Cameron R. Wolfe; Anastasios Kyrillidis; Nam Sung Kim; Yingyan Lin (ICLR, 2022)

i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. - Cameron R. Wolfe; Anastasios Kyrillidis (L4DC, 2022)

REX: Revisiting Budgeted Training with an Improved Schedule. - John Chen 002; Cameron R. Wolfe; Tasos Kyrillidis (MLSys, 2022)

ResIST: Layer-wise decomposition of ResNets for distributed training. - Chen Dun; Cameron R. Wolfe; Christopher M. Jermaine; Anastasios Kyrillidis (UAI, 2022)

Cold Start Streaming Learning for Deep Networks. - Cameron R. Wolfe; Anastasios Kyrillidis (CoRR, 2022)

Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. - Binhang Yuan; Cameron R. Wolfe; Chen Dun; Yuxin Tang; Anastasios Kyrillidis; Chris Jermaine (Proc. VLDB Endow., 2022)

How Much Pre-training Is Enough to Discover a Good Subnetwork? - Cameron R. Wolfe; Fangshuo Liao; Qihan Wang; Junhyung Lyle Kim; Anastasios Kyrillidis (Trans. Mach. Learn. Res., 2024)

Better schedules for low precision training of deep neural networks. - Cameron R. Wolfe; Anastasios Kyrillidis (Mach. Learn., 2024)

GIST: distributed training for large-scale graph convolutional networks. - Cameron R. Wolfe; Jingkang Yang; Fangshuo Liao; Arindam Chowdhury; Chen Dun; Artun Bayer; Santiago Segarra; Anastasios Kyrillidis (J. Appl. Comput. Topol., 2024)