Ramachandran, Deepak

25 publications

ICCV 2025 Erasing More than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine Heller, Mohammad Havaei, Negar Rostamzadeh

CVPR 2025 Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation Xiaoying Xing, Avinab Saha, Junfeng He, Susan Hao, Paul Vicol, Moonkyung Ryu, Gang Li, Sahil Singla, Sarah Young, Yinxiao Li, Feng Yang, Deepak Ramachandran

ICML 2025 Preference Adaptive and Sequential Text-to-Image Generation Ofir Nabati, Guy Tennenholtz, Chihwei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier

NeurIPS 2025 Robust LLM Alignment via Distributionally Robust Direct Preference Optimization Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran

ICLR 2025 What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

ICMLW 2024 Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham

ICLR 2024 Demystifying Embedding Spaces Using Large Language Models Guy Tennenholtz, Yinlam Chow, ChihWei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

NeurIPS 2024 E-COP : Episodic Constrained Optimization of Policies Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla

CVPR 2024 Rich Human Feedback for Text-to-Image Generation Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam

AAAI 2024 TaskLAMA: Probing the Complex Task Understanding of Language Models Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran

ICMLW 2023 Algorithms for Optimal Adaptation ofDiffusion Models to Reward Functions Krishnamurthy Dj Dvijotham, Shayegan Omidshafiei, Kimin Lee, Katherine M. Collins, Deepak Ramachandran, Adrian Weller, Mohammad Ghavamzadeh, Milad Nasr, Ying Fan, Jeremiah Zhe Liu

NeurIPS 2023 BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

ICLR 2023 KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi

ICLR 2023 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-Play Jeremiah Zhe Liu, Krishnamurthy Dj Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran

NeurIPSW 2023 Reward Model Underspecification in Language Model Alignment Jacob Eisenstein, Jonathan Berant, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alexander Nicholas D'Amour, Krishnamurthy Dj Dvijotham, Katherine A Heller, Stephen Robert Pfohl, Deepak Ramachandran

TMLR 2023 Tackling Provably Hard Representative Selection via Graph Neural Networks Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni

ICMLW 2023 Tackling Provably Hard Representative Selection viaGraph Neural Networks Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni

NeurIPSW 2022 Pushing the Accuracy-Fairness Tradeoff Frontier with Introspective Self-Play Jeremiah Zhe Liu, Krishnamurthy Dj Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran

AAAI 2022 Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov

AAAI 2014 A Speech-Driven Second Screen Application for TV Program Discovery Peter Z. Yeh, Benjamin Douglas, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel

AAAI 2012 Improving Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning Adam Vogel, Deepak Ramachandran, Rakesh Gupta, Antoine Raux

ICML 2008 ManifoldBoost: Stagewise Function Approximation for Fully-, Semi- and Un-Supervised Learning Nicolas Loeff, David A. Forsyth, Deepak Ramachandran

IJCAI 2007 Bayesian Inverse Reinforcement Learning Deepak Ramachandran, Eyal Amir

AAAI 2005 Compact Propositional Encodings of First-Order Theories Deepak Ramachandran, Eyal Amir

IJCAI 2005 Compact Propositional Encodings of First-Order Theories Deepak Ramachandran, Eyal Amir