High Accuracy Optical Flow based future image frame predictor model. - Nishchal K. Verma; Eeshan Gunesh Dhekane; G. S. S. Srinivas Rao; Aakansha Mishra (AIPR, 2015)

Convolutional Neural Network Based Sensors for Mobile Robot Relocalization. - Harsh Sinha; Jay Patrikar; Eeshan Gunesh Dhekane; Gaurav Pandey; Mangal Kothari (MMAR, 2018)

Learning Affective Correspondence between Music and Image. - Gaurav Verma; Eeshan Gunesh Dhekane; Tanaya Guha (ICASSP, 2019)

Transfer Learning by Modeling a Distribution over Policies. - Disha Shrivastava; Eeshan Gunesh Dhekane; Riashat Islam (CoRR, 2019)

Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer. - Andrius Ovsianas; Jason Ramapuram; Dan Busbridge; Eeshan Gunesh Dhekane; Russ Webb (CoRR, 2022)

How to Scale Your EMA. - Dan Busbridge; Jason Ramapuram; Pierre Ablin; Tatiana Likhomanenko; Eeshan Gunesh Dhekane; Xavier Suau Cuadros; Russell Webb (NeurIPS, 2023)

Bootstrap Your Own Variance. - Polina Turishcheva; Jason Ramapuram; Sinead Williamson; Dan Busbridge; Eeshan Gunesh Dhekane; Russ Webb (CoRR, 2023)

Poly-View Contrastive Learning. - Amitis Shidani; R. Devon Hjelm; Jason Ramapuram; Russell Webb; Eeshan Gunesh Dhekane; Dan Busbridge (ICLR, 2024)

Theory, Analysis, and Best Practices for Sigmoid Self-Attention. - Jason Ramapuram; Federico Danieli; Eeshan Gunesh Dhekane; Floris Weers; Dan Busbridge; Pierre Ablin; Tatiana Likhomanenko; Jagrit Digani; Zijin Gu; Amitis Shidani; Russell Webb (ICLR, 2025)

Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution? - Michael Kirchhof; Luca Füger; Adam Golinski; Eeshan Gunesh Dhekane; Arno Blaas; Sinead Williamson (CoRR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)