Mayukh Das

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Natural Language

Graph Databases

Preference Elicitation

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. NSDI (2024)
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, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. ISCA (2024)
Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR (2024)
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR (2024)
Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
NASEREX: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams. BigData (2023)
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
Automated Spot Counting in Microbiology. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Brijraj Singh, Swati Gupta, Mayukh Das, Praveen Doreswamy Naidu, Sharan Kumar Allur
Tree DNN: A Deep Container Network. CoRR (2022)
Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement. CoRR (2022)
Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement. ICPR (2022)
Annapurna P. Patil, Rajarajeswari Subramanian, Varun Cornelio, S. Venkatesh, M. Varun, K. Shavin, Mayukh Das, N. S. Pradeep
ANNExR: Efficient Anytime Inference in DNNs via Adaptive Intermediate Decision Points. IntelliSys (2) (2022)
Mayukh Das, Wolf-Tilo Balke
Quantifying Bias from Decoding Techniques in Natural Language Generation. COLING (2022)
Harsha Kokel, Mayukh Das, Md Rakibul Islam, Julia Bonn, Jon Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth
Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR (2022)
S. Rajarajeswari, Annapurna P. Patil, Aditya Madhyastha, Akshat Jaitly, Himangshu Shekhar Jha, Sahil Rajesh Bhave, Mayukh Das, N. S. Pradeep
Design and Develop Hardware Aware DNN for Faster Inference. IntelliSys (3) (2022)
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, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR (2021)
Brijraj Singh, Yash Jain, Mayukh Das, Praveen Doreswamy Naidu
A Framework for Asymmetrical DNN Modularization for Optimal Loading. IJCNN (2021)
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. COMAD/CODS (2021)
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation. KR (2021)
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
Knowledge Intensive Learning of Generative Adversarial Networks. KiML@KDD (2020)
Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan
Discriminative Non-Parametric Learning of Arithmetic Circuits. PGM (2020)
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
Few-Shot Induction of Generalized Logical Concepts via Human Guidance. Frontiers Robotics AI 7 (2020)
Alexander L. Hayes, Mayukh Das, Phillip Odom, Sriraam Natarajan
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams. CoRR (2019)
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. AAAI (2019)
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. CoRR (2019)
Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. CoRR (2019)
Mayukh Das, Phillip Odom, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Planning with actively eliciting preferences. Knowl. Based Syst. 165 (2019)
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
One-Shot Induction of Generalized Logical Concepts via Human Guidance. CoRR (2019)
Mayukh Das, Phillip Odom, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Preference-Guided Planning: An Active Elicitation Approach. CoRR (2018)
Mayukh Das, Phillip Odom, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Preference-Guided Planning: An Active Elicitation Approach. AAMAS (2018)
Mayukh Das, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Active Preference Elicitation for Planning. AAAI Workshops (2017)
Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth
Towards Problem Solving Agents that Communicate and Learn. RoboNLP@ACL (2017)
Alexander L. Hayes, Mayukh Das, Phillip Odom, Sriraam Natarajan
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams. K-CAP (2017)
Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan
Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. SDM (2016)