Bio:
I am a Ph.D. student at Department of Computer Science, IIT Delhi. I am interested in Reinforcement Learning, Deep Planning and Statistical Relational Learning. In my first three years of Ph.D., I have worked on exploiting symmetries in Probabilistic Graphical Models(PGMs) under the guidance of Prof. Parag Singla where we developed Lifted Inference techniques in PGMs to exploit symmetries to solve Marginal-MAP inference in Markov Logic. Presently, I am working on neuro-symbolic learning under the supervision of Prof. Parag Singla and co-advised by Prof. Mausam. I am supported by TCS Research Scholar Fellowship Program. Before joining here I worked at Oracle India as Application Developer.

Conference Publications:

• SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs [Paper] [Supplement]
  Vishal Sharma, Daman Arora, Florian Geißer, Mausam and Parag Singla. The 38th Conference on Uncertainty in Artificial Intelligence (UAI) 2022. Eindhoven, Netherlands.

• Lifted Marginal MAP Inference [Paper] [Supplement]
  Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate and Parag Singla. Conference on Uncertainty in Artificial Intelligence (UAI), 2018. Monterey, California, USA.

Workshop Publications:

• Towards an Interpretable Latent Space in Structured Models for Video Prediction
  [Paper] [Poster]
  Rushil Gupta*, Vishal Sharma*, Yash Jain, Yitao Liang, Guy Van den Broeck and Parag Singla. Workshop on Weakly Supervised Representation Learning (WSRL) at IJCAI 2021. Online.

• Lifted Marginal MAP Inference [Paper] [Supplement]
  Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate and Parag Singla. IJCAI/ICML Workshop on Statistical Relational AI (StaRAI), 2018. Stockholm, Sweden.

News:

• [Aug 2021] Honored to be a TA for the Reinforcement Learning part of AI Siksha, an online course on Deep Learning, an initiative by IITs.
• [Jul 2021] Attended Amazon India Summer School 2021 (Invitation by a selection test).
• [2018-2019] Web chair for CODS-COMAD 2019.
• [Jul 2018] Presented my work on Lifted Marginal MAP Inference at StarAI workshop (collocated with IJCAI 2018).