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Harsh NILESH PATHAK
Joined
April 2023
Names
Harsh NILESH PATHAK
(Preferred)
,
Harsh Nilesh Pathak
Emails
****@wpi.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
PhD student
Data Science,
Worcester Polytechnic Institute
(wpi.edu)
2019
–
2025
MS student
Data Science,
Worcester Polytechnic Institute
(wpi.edu)
2017
–
2018
Advisors, Relations & Conflicts
PhD Advisor
Randy Paffenroth
2019
–
2023
Expertise
AI Agents
,
RAG and LLMs
2022
–
2024
Neural Network Optimization
,
Fine-tuning
,
Deep Learning
2019
–
2024
Recommendation systems
2020
–
2022
Computer Vision
,
Large Language Models
,
Natural Language Processing
2018
–
2022
Publications
Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
Harsh NILESH PATHAK
,
Randy C. Paffenroth
ICML 2025 Workshop SIM Poster
Readers:
Everyone
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
Readers:
Everyone
Sequentia12D: Organizing Center of Skip Connections for Transformers
Harsh Nilesh Pathak
,
Randy C. Paffenroth
,
Quincy Hershey
ICMLA 2023
Readers:
Everyone
Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics
Maria Barger
,
Randy C. Paffenroth
,
Harsh Nilesh Pathak
ICMLA 2023
Readers:
Everyone
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
Readers:
Everyone
Deep Neural Query Understanding System at Expedia Group
Ramji Chandrasekaran
,
Harsh Nilesh Pathak
,
Tae Yano
IEEE BigData 2020
Readers:
Everyone
Parameter Continuation Methods for the Optimization of Deep Neural Networks
Harsh Nilesh Pathak
,
Randy C. Paffenroth
ICMLA 2019
Readers:
Everyone
Efficient Super Resolution for Large-Scale Images Using Attentional GAN
Harsh Nilesh Pathak
,
Xinxin Li
,
Shervin Minaee
,
Brooke Cowan
IEEE BigData 2018
Readers:
Everyone
Efficient Super Resolution For Large-Scale Images Using Attentional GAN
Harsh Nilesh Pathak
,
Xinxin Li
,
Shervin Minaee
,
Brooke Cowan
2018 (modified: 10 Jan 2025)
CoRR 2018
Readers:
Everyone
Co-Authors
Brooke Cowan
Maria Barger
Quincy Hershey
Ramji Chandrasekaran
Randy C. Paffenroth
Shervin Minaee
Simon Tavener
Tae Yano
Xinxin Li