Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. - Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan (SDM, 2016)

Active Preference Elicitation for Planning. - Mayukh Das; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001; Sriraam Natarajan (AAAI Workshops, 2017)

Towards Problem Solving Agents that Communicate and Learn. - Anjali Narayan-Chen; Colin Graber; Mayukh Das; Md. Rakibul Islam 001; Soham Dan; Sriraam Natarajan; Janardhan Rao Doppa; Julia Hockenmaier; Martha Palmer; Dan Roth 001 (RoboNLP@ACL, 2017)

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams. - Alexander L. Hayes; Mayukh Das; Phillip Odom; Sriraam Natarajan (K-CAP, 2017)

Preference-Guided Planning: An Active Elicitation Approach. - Mayukh Das; Phillip Odom; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001; Sriraam Natarajan (AAMAS, 2018)

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. - Mayukh Das; Devendra Singh Dhami; Gautam Kunapuli; Kristian Kersting; Sriraam Natarajan (AAAI, 2019)

Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. - Mayukh Das; Yang Yu; Devendra Singh Dhami; Gautam Kunapuli; Sriraam Natarajan (CoRR, 2019)

Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. - Mayukh Das; Devendra Singh Dhami; Yang Yu; Gautam Kunapuli; Sriraam Natarajan (CoRR, 2019)

One-Shot Induction of Generalized Logical Concepts via Human Guidance. - Mayukh Das; Nandini Ramanan; Janardhan Rao Doppa; Sriraam Natarajan (CoRR, 2019)

Planning with actively eliciting preferences. - Mayukh Das; Phillip Odom; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001; Sriraam Natarajan (Knowl. Based Syst., 2019)

Knowledge Intensive Learning of Generative Adversarial Networks. - Devendra Singh Dhami; Mayukh Das; Sriraam Natarajan (KiML@KDD, 2020)

Discriminative Non-Parametric Learning of Arithmetic Circuits. - Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan (PGM, 2020)

Few-Shot Induction of Generalized Logical Concepts via Human Guidance. - Mayukh Das; Nandini Ramanan; Janardhan Rao Doppa; Sriraam Natarajan (Frontiers Robotics AI, 2020)

Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. - Mayukh Das; Devendra Singh Dhami; Yang Yu; Gautam Kunapuli; Sriraam Natarajan (COMAD/CODS, 2021)

A Framework for Asymmetrical DNN Modularization for Optimal Loading. - Brijraj Singh; Yash Jain; Mayukh Das; Praveen Doreswamy Naidu (IJCNN, 2021)

Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation. - Devendra Singh Dhami; Mayukh Das; Sriraam Natarajan (KR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Quantifying Bias from Decoding Techniques in Natural Language Generation. - Mayukh Das; Wolf-Tilo Balke (COLING, 2022)

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement. - Mayukh Das; Brijraj Singh; Harsh Kanti Chheda; Pawan Sharma; Pradeep NS (ICPR, 2022)

ANNExR: Efficient Anytime Inference in DNNs via Adaptive Intermediate Decision Points. - Annapurna P. Patil; Rajarajeswari Subramanian; Varun Cornelio; S. Venkatesh; M. Varun; K. Shavin; Mayukh Das; N. S. Pradeep (IntelliSys (2), 2022)

Design and Develop Hardware Aware DNN for Faster Inference. - S. Rajarajeswari; Annapurna P. Patil; Aditya Madhyastha; Akshat Jaitly; Himangshu Shekhar Jha; Sahil Rajesh Bhave; Mayukh Das; N. S. Pradeep (IntelliSys (3), 2022)

Human-guided Collaborative Problem Solving: A Natural Language based Framework. - Harsha Kokel; Mayukh Das; Md. Rakibul Islam 001; Julia Bonn; Jon Z. Cai; Soham Dan; Anjali Narayan-Chen; Prashant Jayannavar; Janardhan Rao Doppa; Julia Hockenmaier; Sriraam Natarajan; Martha Palmer; et al. (CoRR, 2022)

Tree DNN: A Deep Container Network. - Brijraj Singh; Swati Gupta; Mayukh Das; Praveen Doreswamy Naidu; Sharan Kumar Allur (CoRR, 2022)

NASEREX: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams. - Aakash Kapoor; Rajath Elias Soans; Soham Dixit; Pradeep NS; Brijraj Singh; Mayukh Das (IEEE Big Data, 2023)

Automated Spot Counting in Microbiology. - Chun Pang Lin; Yajie Duan; Davit Sargsyan; Javier Cabrera; Christine M. Livingston; Robert Vogel; John Hartman; Mayukh Das; Willem Talloen; Helena Geys; Evangelos D. Kanoulas; Surya Mohanty (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Chetan Bansal; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Qi Zhang 066 (CIKM, 2024)

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. - Jovan Stojkovic; Pulkit A. Misra; Íñigo Goiri; Sam Whitlock; Esha Choukse; Mayukh Das; Chetan Bansal; Jason Lee; Zoey Sun; Haoran Qiu; Reed Zimmermann; Savyasachi Samal; et al. (ISCA, 2024)

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 (NSDI, 2024)

Toximatics: Towards Understanding Toxicity in Real-Life Social Situations. - Mayukh Das; Wolf-Tilo Balke (SIGDIAL, 2024)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. - Lu Wang 029; Mayukh Das; Fangkai Yang; Junjie Sheng; Bo Qiao 001; Hang Dong 004; Si Qin; Victor Rühle; Chetan Bansal; Eli Cortez; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. - Aditya Soni; Mayukh Das; Anjaly Parayil; Supriyo Ghosh; Shivam Shandilya; Ching-An Cheng; Vishak Gopal; Sami Khairy; Gabriel Mittag; Yasaman Hosseinkashi; Chetan Bansal (CoRR, 2024)