Efficient Super Resolution for Large-Scale Images Using Attentional GAN. - Harsh Nilesh Pathak; Xinxin Li; Shervin Minaee; Brooke Cowan (IEEE BigData, 2018)

Parameter Continuation Methods for the Optimization of Deep Neural Networks. - Harsh Nilesh Pathak; Randy C. Paffenroth (ICMLA, 2019)

Deep Neural Query Understanding System at Expedia Group. - Ramji Chandrasekaran; Harsh Nilesh Pathak; Tae Yano (IEEE BigData, 2020)

Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics. - Maria Barger; Randy C. Paffenroth; Harsh Nilesh Pathak (ICMLA, 2023)

Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. - Quincy Hershey; Randy C. Paffenroth; Harsh Nilesh Pathak (ICMLA, 2023)

Sequentia12D: Organizing Center of Skip Connections for Transformers. - Harsh Nilesh Pathak; Randy C. Paffenroth; Quincy Hershey (ICMLA, 2023)

Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity. - Quincy Hershey; Randy C. Paffenroth; Harsh Nilesh Pathak; Simon Tavener (CoRR, 2024)

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers. - Harsh Nilesh Pathak; Randy C. Paffenroth (CoRR, 2025)

Principled Curriculum Learning using Parameter Continuation Methods. - Harsh Nilesh Pathak; Randy C. Paffenroth (CoRR, 2025)