Publications
Citations per year
2026
4 papers
Context-Specific Credibility-Aware Multimodal Fusion with Conditional Probabilistic Circuits
Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
Preprint, Under Review, 2026
Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
Sahil Sidheekh, Sriraam Natarajan
Preprint, Under Review, 2026
Tractable and Expressive Generative Modeling with Probabilistic Flow Circuits
Sahil Sidheekh, Sriraam Natarajan
Neurosymbolic AI: Foundations and Applications, pages 183–222. Wiley Online Library, 2026
Tractable Sharpness-Aware Learning of Probabilistic Circuits
AAAI '26Sahil Sidheekh, Hrithik Suresh, Vishnu Shreeram, Sriraam Natarajan, Narayanan C. Krishnan
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
2025
7 papers
Autoencoding Probabilistic Circuits
TPM Workshop '25Steven Braun, Sahil Sidheekh, Sriraam Natarajan, Antonio Vergari, Marius Mundt, Kristian Kersting
The Eighth Workshop on Tractable Probabilistic Modeling (TPM), 2025
Tractable Representation Learning with Probabilistic Circuits
TMLR '25Steven Braun, Sahil Sidheekh, Antonio Vergari, Marius Mundt, Sriraam Natarajan, Kristian Kersting
Transactions on Machine Learning Research (TMLR), 2025
Human-Allied Relational Reinforcement Learning
ACS '25FG Darvishvand, H Shindo, Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan
The Twelfth Annual Conference on Advances in Cognitive Systems (ACS), 2025
Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining
PAKDD '25Debashis Gupta, Aditi Golder, Sahil Sidheekh, Sakib Imtiaz, Sarra Alaqahtani, Fan Yang, Greg Larsen, Miles Silman, Luis Fernendez, Robert Plemmons, Sriraam Natarajan, V. Paul Pauca
The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI '25Sahil Sidheekh, Athresh Karanam, Saurabh Mathur, Sriraam Natarajan
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
AISTATS '25Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
AAAI '25Sriraam Natarajan, Sahil Sidheekh, Saurabh Mathur, Wolfgang Stammer, Kristian Kersting
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
2024
3 papers
Credibility-Aware Reliable Multi-Modal Fusion Using Probabilistic Circuits
AAAI '24Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
The 2nd Workshop on Deployable AI (DAI), co-located at AAAI, 2024
On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits
FUSION '24Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Sriraam Natarajan
The 27th International Conference on Information Fusion (FUSION), 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review
IJCAI '24Sahil Sidheekh, Sriraam Natarajan
The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
2023
5 papers
Bayesian Learning of Probabilistic Circuits with Domain Constraints
UAI '23Sahil Sidheekh, Athresh Karanam, Saurabh Mathur, Sriraam Natarajan
The 6th Workshop on Tractable Probabilistic Modeling (TPM), co-located at UAI, 2023
EWSmethods: An R Package to Forecast Tipping Points at the Community Level Using Early Warning Signals, Resilience Measures, and Machine Learning Models
Ecography '23Duncan A. O'Brien, Smita Deb, Sahil Sidheekh, Narayanan C. Krishnan, Partha Sharathi Dutta
Ecography, e06674, 2023· 18 citations
Leveraging Task Variability in Meta-Learning
SN Comp Sci '23Aroof Aimen, Bharat Ladrecha, Sahil Sidheekh, Narayanan C. Krishnan
SN Computer Science, 4(5), 539. Springer, 2023· 1 citations
Adaptation: Blessing or Curse for Higher Way Meta-Learning
IEEE TAI '23Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan
IEEE Transactions on Artificial Intelligence, 5(4), 1844–1856, 2023· 5 citations
2022
2 papers
Machine Learning Methods Trained on Simple Models Can Predict Critical Transitions in Complex Natural Systems
RSOS '22Smita Deb, Sahil Sidheekh, Christopher F. Clements, Narayanan C. Krishnan, Partha Sharathi Dutta
Royal Society Open Science, 9(2), 211475, 2022· 40 citations
VQ-Flows: Vector Quantized Local Normalizing Flows
UAI '22Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu Balan, Maneesh K. Singh
The 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022· 3 citations
2021
5 papersAttentive Contractive Flow with Lipschitz-Constrained Self-Attention
Avideep Mukherjee, Badri N. Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri
Preprint, Under Review, 2021
Task Attended Meta-Learning for Few-Shot Learning
NeurIPS '21Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan
The 5th Workshop on Meta-Learning at NeurIPS, 2021· 10 citations
On Characterizing GAN Convergence Through Proximal Duality Gap
ICML '21Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
Proceedings of the 38th International Conference on Machine Learning (ICML), PMLR 139, 9660–9670, 2021· 68 citations