Tirtharaj Dash

Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning

Dec 20, 2022
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig

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* The paper is accepted at Winter Conference on applications of Computer Vision (IEEE WACV) in algorithms tracks. 8 pages Main paper; 3 pages supplementary material

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Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces

Sep 19, 2022
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan

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* 13 pages, 4 figures, Accepted at 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022)

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Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches

Jun 18, 2022
Abhinav Lalwani, Aman Saraiya, Apoorv Singh, Aditya Jain, Tirtharaj Dash

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* 9 pages, 1 figure, accepted to 2nd International Conference on Sports Engineering (ICSE 2021)

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Composition of Relational Features with an Application to Explaining Black-Box Predictors

Jun 01, 2022
Ashwin Srinivasan, A Baskar, Tirtharaj Dash, Devanshu Shah

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* 45 pages, submitted to Machine Learning Journal

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Solving Visual Analogies Using Neural Algorithmic Reasoning

Nov 19, 2021
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

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* 20 pages. Contains extended abstract accepted at the AAAI-22 Student Abstract and Poster Program along with relevent supplementary material

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Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems

Oct 19, 2021
Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan

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* Equal contribution from first two authors. Accepted at the 10th International Workshop on Approaches and Applications of Inductive Programming as a Work In Progress Report

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