Mayukh Das
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
16
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Learning Optimal Message Representations for Agentic Communication. | Shashwat Gupta, Anson Bastos, Mayukh Das, Supriyo Ghosh, Nagarajan Natarajan, Chetan Bansal, Saravan Rajmohan |
| 2026 | CHI | INLAY: Preemptive, In-Context Intelligence for Casual Web Browsing. | Pratyay Kedar Suvarnapathaki, Adithya S. Kolavi, Harsh Vijay, Mayukh Das, Ajay Manchepalli, Venkata N. Padmanabhan |
| 2025 | DASFAA | Anticipating Retractions in Scientific Databases Using LLM-Based Citation Analysis. | Muhammad Usman, Mayukh Das, Wolf-Tilo Balke |
| 2025 | INLG | From Prototypical to Relational: How LLMs Navigate Complex Analogies. | Mayukh Das, Wolf-Tilo Balke |
| 2024 | CIKM | COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. | Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang |
| 2024 | ISCA | SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. | Jovan Stojkovic, Pulkit A. Misra, igo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini |
| 2024 | NSDI | OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. | Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan |
| 2024 | SIGdial | Toximatics: Towards Understanding Toxicity in Real-Life Social Situations. | Mayukh Das, Wolf-Tilo Balke |
| 2022 | COLING | Quantifying Bias from Decoding Techniques in Natural Language Generation. | Mayukh Das, Wolf-Tilo Balke |
| 2022 | ICPR | AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement. | Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS |
| 2021 | COMAD | Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. | Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan |
| 2021 | IJCNN | A Framework for Asymmetrical DNN Modularization for Optimal Loading. | Brijraj Singh, Yash Jain, Mayukh Das, Praveen Doreswamy Naidu |
| 2021 | KR | Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation. | Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan |
| 2020 | KDD | Knowledge Intensive Learning of Generative Adversarial Networks. | Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan |
| 2019 | AAAI | Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. | Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan |
| 2017 | AAAI | Active Preference Elicitation for Planning. | Mayukh Das, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan |
| 2017 | ACL | Towards Problem Solving Agents that Communicate and Learn. | Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth |
| 2016 | SDM | Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. | Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan |