Solving Partial Assignment Problems using Random Clique Complexes. - Charu Sharma; Deepak Nathani; Manohar Kaul (ICML, 2018)

Understanding and Predicting Links in Graphs: A Persistent Homology Perspective. - Sumit Bhatia; Bapi Chatterjee; Deepak Nathani; Manohar Kaul (CoRR, 2018)

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. - Deepak Nathani; Jatin Chauhan; Charu Sharma; Manohar Kaul (ACL (1), 2019)

A Persistent Homology Perspective to the Link Prediction Problem. - Sumit Bhatia; Bapi Chatterjee; Deepak Nathani; Manohar Kaul (COMPLEX NETWORKS (1), 2019)

Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. - Jatin Chauhan; Deepak Nathani; Manohar Kaul (ICLR, 2020)

Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages. - Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar (CoRR, 2021)

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings. - Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar (ACL (1), 2022)

Walking with PACE - Personalized and Automated Coaching Engine. - Madhurima Vardhan; Narayan Hegde; Srujana Merugu; Shantanu Prabhat; Deepak Nathani; Martin Seneviratne; Nur Muhammad; Pranay Reddy; Sriram Lakshminarasimhan; Rahul Singh; Karina Lorenzana; Eshan Motwani; et al. (UMAP, 2022)

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. - Deepak Nathani; David Wang; Liangming Pan; William Yang Wang (EMNLP, 2023)

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. - Liangming Pan; Michael Saxon; Wenda Xu; Deepak Nathani; Xinyi Wang 003; William Yang Wang (CoRR, 2023)

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. - Liangming Pan; Michael Saxon; Wenda Xu; Deepak Nathani; Xinyi Wang 003; William Yang Wang (Trans. Assoc. Comput. Linguistics, 2024)

MLGym: A New Framework and Benchmark for Advancing AI Research Agents. - Deepak Nathani; Lovish Madaan; Nicholas Roberts; Nikolay Bashlykov; Ajay Menon; Vincent Moens; Amar Budhiraja; Despoina Magka; Vladislav Vorotilov; Gaurav Chaurasia; Dieuwke Hupkes; Ricardo Silveira Cabral; et al. (CoRR, 2025)