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Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions



Vibhor Gupta , Jyoti Narwariya , Pankaj Malhotra , Lovekesh Vig , Gautam Shroff

* Accepted at ICDM 2021 

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Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression



Diksha Garg , Pankaj Malhotra , Anil Bhatia , Sanjay Bhat , Lovekesh Vig , Gautam Shroff

* Published at Workshop on AI in Financial Services: Adaptiveness, Resilience & Governance, AAAI-22 

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DRTCI: Learning Disentangled Representations for Temporal Causal Inference



Garima Gupta , Lovekesh Vig , Gautam Shroff

* Accepted in Workshop on "The Neglected Assumptions in Causal Inference" at ICML 2021 (July) 

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Solving Visual Analogies Using Neural Algorithmic Reasoning



Atharv Sonwane , Gautam Shroff , Lovekesh Vig , Ashwin Srinivasan , Tirtharaj Dash

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

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Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!



Vedant Shah , Gautam Shroff

* Accepted at the ICBINB Workshop @ NeurIPS, 2021 

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Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems



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

* 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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CAMTA: Casual Attention Model for Multi-touch Attribution



Sachin Kumar , Garima Gupta , Ranjitha Prasad , Arnab Chatterjee , Lovekesh Vig , Gautam Shroff


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Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation



Diksha Garg , Priyanka Gupta , Pankaj Malhotra , Lovekesh Vig , Gautam Shroff

* Presented at Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2020 

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Hi-CI: Deep Causal Inference in High Dimensions



Ankit Sharma , Garima Gupta , Ranjitha Prasad , Arnab Chatterjee , Lovekesh Vig , Gautam Shroff

* 23 pages, 5 figures, Accepted in Causal Discovery Workshop - KDD 2020 

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Handling Variable-Dimensional Time Series with Graph Neural Networks



Vibhor Gupta , Jyoti Narwariya , Pankaj Malhotra , Lovekesh Vig , Gautam Shroff

* Accepted at [email protected]'20 workshop 

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