Sahil Sidheekh
Ph.D. Student,
The University of Texas at Dallas.

ECSS 3.214, Erik Jonsson School of Engineering & Computer Science, UTD
I am an AI researcher trying to make machines capable of representing knowledge while reasoning about uncertainties in this increasingly complex world.
Presently, I am a 1st year Ph.D. student working at the StARLing Lab headed by Dr. Sriraam Natarajan. I work broadly in the domains of Neuro-Symbolic AI, Probabilistic Generative Models and Meta-learning. I also explore novel applications that can benefit from these reasearch areas, especially problems that can impact society for the better. Previously, I completed by undergraduate studies majoring in Computer Science and Engineering from IIT Ropar, where I was fortunate to be a part of the LSAIML team headed by Dr. Narayanan C. K.
I am passionate about building robust and efficient systems that can reason probabilistically and make interpretable decisions. I enjoy connecting dots and innovating ideas that span multiple disciplines. I have a strong academic background in engineering and machine learning. If you would like to collaborate, please feel free to reach out through email .
news
Aug 22, 2022 |
I have joined the StARLing Lab at UT Dallas as a Ph.D. Student . Excited !![]() |
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May 16, 2022 |
Our work VQ-Flows: Vector Quantized Local Normalizing Flows has been accepted to UAI 2022 ![]() |
Jan 19, 2022 |
Our work Machine Learning Methods Trained on Simple Models can Anticipate Crtitical Transitions in Complex Systems has been accepted to the Royal Society Open Science Journal. ![]() |
Oct 24, 2021 |
Our work Task Attended Meta-Learning for Few-Shot Learning has been accepted to the NeurIPS 2021 Workshop on Metalearning ![]() |
May 10, 2021 |
Our work On Characterizing GAN Convergence Through Proximal Duality Gap has been accepted to ICML 2021 ![]() |