Publications

Archival Conference Papers

  1. "Neural Models for Output-Space Invariance in Combinatorial Problems".

Yatin Nandwani, Vidit Jain, Mausam, Parag Singla. The International Conference on Learning Representations (ICLR). April 2022.


  1. "1oML: Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces".

Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla. The International Conference on Learning Representations (ICLR). May 2021.

[Code] [Presentation]


  1. "OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion".

Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Parag Singla, Mausam. Automated Knowledge Base Construction (AKBC). June 2020.

[Code] [Presentation] [Video]


  1. "A Primal Dual Formulation For Deep Learning With Constraints".

Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla. Conference on Neural Information Processing Systems (NeurIPS). Vancouver, Canada. December 2019.

[Acceptance Rate: 21%] [Code] [Presentation]



Workshop Papers

  1. "Lifted Inference for Faster Training (LIFT) in End-to-End Neural-CRF Models".

Yatin Nandwani*, Ankit Anand*, Mausam, Parag Singla. Workshop on Relational Representation Learning (R2L) at NeurIPS. Montreal, Canada. December 2018.

[Poster]

Preprints/Reports/Presentations

  1. Matching Papers and Reviewers at Large Conferences

Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu, Arxiv preprint, 2022

  1. Tutorial on Neuro-symbolic AI, ODSC APAC 2021 [Video]

  2. "Augmenting Deep Learning with Domain Knowledge": [Report] [PPT]

  3. Presentation on "Deep Learning for Extreme Multi-label Text Classification" : Report PPT Demo

  4. Presentation on "Attention Is All You Need": PPT

  5. Presentation on "Real-time Visual Respiration Rate Estimation with Automatic Scene Adaptation": PPT