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Ankit Sharma
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Publications
- 2021
- [c24]Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM 2021: 3048-3052 - [c22]Mahendra P. S. Bhadoria, Latheef A. Shaik, Anamiya Bhattacharya, Shrija Bhattacharyya, Ranajit Dey, Madhav Das, Satyendra Kushwaha, Ankit Sharma, Samyak Jain, Prantik Chakraborty, Rajeev Jyoti:
System Design of Ground Based Sounder for Nowcasting. IGARSS 2021: 7099-7102 - 2020
- [c20]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN 2020: 25-30 - [c18]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD 2020: 39-61 - [i7]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR abs/2004.13446 (2020) - [i5]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. CoRR abs/2008.09858 (2020) - [i4]Ankit Sharma, Shreyash Arya, Shashee Kumari, Arnab Chatterjee:
Effect of lockdown interventions to control the COVID-19 epidemic in India. CoRR abs/2009.03168 (2020) - 2019
- [i2]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. CoRR abs/1912.03960 (2019) - 2018
- [c15]Ankit Sharma, Apurv Kumar, Sony Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh, Shikha Gupta:
Modified Time Flexible Kernel for Video Activity Recognition using Support Vector Machines. ICPRAM 2018: 133-140
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