Sidheekh, Sahil

9 publications

AAAI 2025 A Unified Framework for Human-Allied Learning of Probabilistic Circuits Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan

AISTATS 2025 Credibility-Aware Multimodal Fusion Using Probabilistic Circuits Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan

AAAI 2025 Human-in-the-Loop or AI-in-the-Loop? Automate or Collaborate? Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting

TMLR 2025 Tractable Representation Learning with Probabilistic Circuits Steven Braun, Sahil Sidheekh, Antonio Vergari, Martin Mundt, Sriraam Natarajan, Kristian Kersting

IJCAI 2024 Building Expressive and Tractable Probabilistic Generative Models: A Review Sahil Sidheekh, Sriraam Natarajan

UAI 2023 Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan

UAI 2022 VQ-Flows: Vector Quantized Local Normalizing Flows Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu Balan, Maneesh K. Singh

ICML 2021 On Characterizing GAN Convergence Through Proximal Duality Gap Sahil Sidheekh, Aroof Aimen, Narayanan C Krishnan

NeurIPSW 2021 Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Narayanan Chatapuram Krishnan