Sahil Sidheekh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Vector Quantized

Set Covering Problem

Top Venues

IEEE Trans. Artif. Intell.

Publications

Sahil Sidheekh, Saurabh Mathur, Athresh Karanam, Sriraam Natarajan
Deep Tractable Probabilistic Models. COMAD/CODS (2024)
Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan
Adaptation: Blessing or Curse for Higher Way Meta-Learning. IEEE Trans. Artif. Intell. 5 (4) (2024)
Sahil Sidheekh, Sriraam Natarajan
Building Expressive and Tractable Probabilistic Generative Models: A Review. CoRR (2024)
Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits. CoRR (2024)
Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan
A Unified Framework for Human-Allied Learning of Probabilistic Circuits. CoRR (2024)
Aroof Aimen, Bharat Ladrecha, Sahil Sidheekh, Narayanan C. Krishnan
Leveraging Task Variability in Meta-learning. SN Comput. Sci. 4 (5) (2023)
Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. UAI (2023)
Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh
VQ-Flows: Vector Quantized Local Normalizing Flows. CoRR (2022)
Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh
VQ-Flows: Vector quantized local normalizing flows. UAI (2022)
Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan
Task Attended Meta-Learning for Few-Shot Learning. CoRR (2021)
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
On Characterizing GAN Convergence Through Proximal Duality Gap. ICML (2021)
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
Characterizing GAN Convergence Through Proximal Duality Gap. CoRR (2021)
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
Stress Testing of Meta-learning Approaches for Few-shot Learning. MetaDL@AAAI (2021)
Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri
Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. CoRR (2021)
Sahil Sidheekh
Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification. CoRR (2021)
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
Stress Testing of Meta-learning Approaches for Few-shot Learning. CoRR (2021)
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
On Duality Gap as a Measure for Monitoring GAN Training. IJCNN (2021)
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
On Duality Gap as a Measure for Monitoring GAN Training. CoRR (2020)
Aroof Aimen, Amandeep Kaur, Sahil Sidheekh
Scale Invariant Fast PHT based Copy-Move Forgery Detection. ICCCNT (2020)