| 2026 | AAAI | DETONATE - A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization. | Renjith Prasad Kaippilly Mana, Abhilekh Borah, Hasnat Md Abdullah, Chathurangi Shyalika, Gurpreet Singh, Ritvik Garimella, Rajarshi Roy, Harshul Raj Surana, Nasrin Imanpour, Suranjana Trivedy, Amit P. Sheth, Amitava Das |
| 2025 | ACL | DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization. | Amitava Das, Suranjana Trivedy, Danush Khanna, Yaswanth Narsupalli, Basab Ghosh, Rajarshi Roy, Gurpreet Singh, Vinija Jain, Vasu Sharma, Aishwarya Naresh Reganti, Aman Chadha |
| 2025 | ICCV | ByDeWay: Boost Your Multimodal LLM with DEpth Prompting in a Training-Free Way. | Rajarshi Roy, Devleena Das, Ankesh Banerjee, Arjya Bhattacharjee, Kousik Dasgupta, Subarna Tripathi |
| 2025 | ICLR | NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. | Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | ICML | Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity. | Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro |
| 2025 | IJCAI | Learning Probabilistic Temporal Logic Specifications for Stochastic Systems. | Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska |
| 2025 | STACS | The Complexity of Learning LTL, CTL and ATL Formulas. | Benjamin Bordais, Daniel Neider, Rajarshi Roy |
| 2024 | DAC | CircuitVAE: Efficient and Scalable Latent Circuit Optimization. | Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro |
| 2024 | FM | Learning Branching-Time Properties in CTL and ATL via Constraint Solving. | Benjamin Bordais, Daniel Neider, Rajarshi Roy |
| 2024 | VMCAI | Synthesizing Efficiently Monitorable Formulas in Metric Temporal Logic. | Ritam Raha, Rajarshi Roy, Nathanal Fijalkow, Daniel Neider, Guillermo A. Prez |
| 2023 | AAAI | Learning Interpretable Temporal Properties from Positive Examples Only. | Rajarshi Roy, Jean-Raphal Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu |
| 2023 | ATVA | Specification Sketching for Linear Temporal Logic. | Simon Lutz, Daniel Neider, Rajarshi Roy |
| 2023 | ICCAD | GraPhSyM: Graph Physical Synthesis Model. | Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro |
| 2022 | RE | Expanding the Horizon of Linear Temporal Logic Inference for Explainability. | Daniel Neider, Rajarshi Roy |
| 2022 | TACAS | Scalable Anytime Algorithms for Learning Fragments of Linear Temporal Logic. | Ritam Raha, Rajarshi Roy, Nathanal Fijalkow, Daniel Neider |
| 2021 | ATVA | Learning Linear Temporal Properties from Noisy Data: A MaxSAT-Based Approach. | Jean-Raphal Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu |
| 2021 | ATVA | Property-Directed Verification and Robustness Certification of Recurrent Neural Networks. | Igor Khmelnitsky, Daniel Neider, Rajarshi Roy, Xuan Xie, Benot Barbot, Benedikt Bollig, Alain Finkel, Serge Haddad, Martin Leucker, Lina Ye |
| 2021 | DAC | PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. | Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro |
| 2021 | ICCAD | Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. | Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy |
| 2020 | IJCAI | Learning Interpretable Models in the Property Specification Language. | Rajarshi Roy, Dana Fisman, Daniel Neider |
| 2018 | LCN | Packet Dropping and Decoding Statistics for Linear Network Coded Broadcast with Feedback. | Sovanjyoti Giri, Rajarshi Roy |
| 2017 | CISS | Optical random number generation - harvesting entropy from noise and chaos. | Joseph D. Hart, Rajarshi Roy, Thomas E. Murphy |
| 2016 | GLOBECOM | An Iterative SAGE Based Semi-Blind Channel Estimation for Massive MIMO. | Khushboo Mawatwal, Debarati Sen, Rajarshi Roy |
| 2016 | ICRA | Using Bayesian optimization to guide probing of a flexible environment for simultaneous registration and stiffness mapping. | Elif Ayvali, Rangaprasad Arun Srivatsan, Long Wang, Rajarshi Roy, Nabil Simaan, Howie Choset |
| 2016 | ICRA | Concurrent nonparametric estimation of organ geometry and tissue stiffness using continuous adaptive palpation. | Preetham Chalasani, Long Wang, Rajarshi Roy, Nabil Simaan, Russell H. Taylor, Marin Kobilarov |
| 2016 | ICRA | Investigation of effects of dynamics on intrinsic wrench sensing in continuum robots. | Rajarshi Roy, Long Wang, Nabil Simaan |
| 2016 | ICRA | Complementary model update: A method for simultaneous registration and stiffness mapping in flexible environments. | Rangaprasad Arun Srivatsan, Elif Ayvali, Long Wang, Rajarshi Roy, Nabil Simaan, Howie Choset |
| 2008 | VTC | Energy-Efficient Broadcasting in Wireless Ad Hoc Networks Using Directional Antennas. | Tamaghna Acharya, Rajarshi Roy, Samiran Chattopadhyay |
| 2006 | ICPADS | Multicommodity Flow Based Maximum Lifetime Routing in Wireless Sensor Network. | Kumar Padmanabh, Rajarshi Roy |
| 2006 | Mobiquitous | Bottleneck around Base Station in Wireless Sensor Network and its Solution. | Kumar Padmanabh, Rajarshi Roy |
| 2006 | SECON | Doughnut Effect in Wireless Sensor Network and its Solution. | Kumar Padmanabh, Rajarshi Roy |
| 2004 | HiPC | Dynamic Topology Construction in Bluetooth Scatternets. | Rajarshi Roy, Mukesh Kumar, Navin Kumar Sharma, Shamik Sural |