Sahil Sidheekh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Tractable Sharpness-Aware Learning of Probabilistic Circuits. | Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M. P, Sriraam Natarajan, Narayanan Chatapuram Krishnan |
| 2025 | AAAI | A Unified Framework for Human-Allied Learning of Probabilistic Circuits. | Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan |
| 2025 | AAAI | Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? | Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting |
| 2025 | AISTATS | Credibility-Aware Multimodal Fusion Using Probabilistic Circuits. | Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan |
| 2025 | PAKDD | Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining. | Debashis Gupta, Aditi Golder, Sahil Sidheekh, Sakib Imtiaz, Sarra Alaqahtani, Fan Yang, Gregory D. Larsen, Miles R. Silman, Luis E. Fernandez, Robert J. Plemmons, Sriraam Natarajan, V. Paul Pauca |
| 2024 | COMAD | Deep Tractable Probabilistic Models. | Sahil Sidheekh, Saurabh Mathur, Athresh Karanam, Sriraam Natarajan |
| 2024 | FUSION | On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits. | Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Sriraam Natarajan |
| 2024 | IJCAI | Building Expressive and Tractable Probabilistic Generative Models: A Review. | Sahil Sidheekh, Sriraam Natarajan |
| 2023 | UAI | Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. | Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan |
| 2022 | UAI | VQ-Flows: Vector quantized local normalizing flows. | Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh |
| 2021 | AAAI | Stress Testing of Meta-learning Approaches for Few-shot Learning. | Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan |
| 2021 | ICML | On Characterizing GAN Convergence Through Proximal Duality Gap. | Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan |
| 2021 | IJCNN | On Duality Gap as a Measure for Monitoring GAN Training. | Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan |