EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models von O'Brien, Duncan A., Deb, Smita, Sidheekh, Sahil, Krishnan, Narayanan C., Sharathi Dutta, Partha, Clements, Christopher F.

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Machine learning methods trained on simple models can predict critical transitions in complex natural systems von Deb, Smita, Sidheekh, Sahil, Clements, Christopher F, Krishnan, Narayanan C, Dutta, Partha S

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Adaptation: Blessing or Curse for Higher Way Meta-Learning von Aimen, Aroof, Sidheekh, Sahil, Ladrecha, Bharat, Ahuja, Hansin, Krishnan, Narayanan C

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Leveraging Task Variability in Meta-learning von Aimen, Aroof, Ladrecha, Bharat, Sidheekh, Sahil, Krishnan, Narayanan C.

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

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Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification von Sidheekh, Sahil

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

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

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Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification von Sidheekh, Sahil

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

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Task Attended Meta-Learning for Few-Shot Learning von Aimen, Aroof, Sidheekh, Sahil, Krishnan, Narayanan C

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

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Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits von Sidheekh, Sahil, Tenali, Pranuthi, Mathur, Saurabh, Blasch, Erik, Kersting, Kristian, Natarajan, Sriraam

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Stress Testing of Meta-learning Approaches for Few-shot Learning von Aimen, Aroof, Sidheekh, Sahil, Madan, Vineet, Krishnan, Narayanan C

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

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

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On Duality Gap as a Measure for Monitoring GAN Training von Sidheekh, Sahil, Aimen, Aroof, Madan, Vineet, Krishnan, Narayanan C

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

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Task Attended Meta-Learning for Few-Shot Learning von Aroof Aimen, Sidheekh, Sahil, Krishnan, Narayanan C

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

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