Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

AutoDOViz: Human-Centered Automation for Decision Optimization


Feb 19, 2023
Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn

Add code


   Access Paper or Ask Questions

Policy Gradients for Probabilistic Constrained Reinforcement Learning


Oct 02, 2022
Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain

Add code


   Access Paper or Ask Questions

Learning Temporal Rules from Noisy Timeseries Data


Feb 11, 2022
Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song

Add code

* 19 pages, 5 figures 

   Access Paper or Ask Questions

Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs


Aug 07, 2021
Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

Add code

* 17 pages, 1 figure, 4 tables 

   Access Paper or Ask Questions

A Multi-Channel Neural Graphical Event Model with Negative Evidence


Feb 21, 2020
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

Add code

* AAAI 2020 

   Access Paper or Ask Questions

Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation


Sep 26, 2013
Marek Petrik, Dharmashankar Subramanian, Janusz Marecki

Add code

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

   Access Paper or Ask Questions

An Approximate Solution Method for Large Risk-Averse Markov Decision Processes


Oct 16, 2012
Marek Petrik, Dharmashankar Subramanian

Add code

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

   Access Paper or Ask Questions