Publications & Reports

• Sarvesh Shashidhar, Nachiketa Patil, Ritik "Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm" ArXiv, 2025. [arXiv] [Code]
• Nachiketa Patil, Sanika Wagh, Arjun Bhagoji, Parthe Pandit "Mycroft: Effective and Efficient External Data Augmentation" Under Review at TMLR, 2026.
• Adrien Schoen, Nachiketa Patil, Arjun Bhagoji, Francesco Bronzino "ChronoSSM: Training for Temporally Aware Representations in Autoregressive State Space Models" Under Review at KDD 2027. [arXiv]
• Nachiketa Patil, Tunir Ghosh, Ritik "Aligning Representations: A New Regularizer for Adversarial Training" To be submitted to ICLR 2027.
• Siddhant Gole, Nachiketa Patil, Vaibhav Rathore, Siddharth Sureka, Neha Bhargava "CandleDiff: Contextual Diffusion for Structurally Valid OHLC Generation" Under Review at ICAIF, 2026.
• Ritik, Vaibhav Rathore, Nachiketa Patil, Siddhant Gole, Siddharth Sureka, Neha Bhargava "Zero-Shot or Fine-Tuned? Benchmarking Time-Series Foundation Models Across Indian and US Equity Markets" Under Review at ICAIF, 2026.