Deepak Vijaykeerthy

1. A Framework for Learning Ante-hoc Explainable Models via Concepts
   2021/08/25 by Anirban Sarkar, Deepak Vijaykeerthy, Sarkar, Anirban +5 · 8 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Advanced Neural Network Applications
2. Explaining Deep Learning Models using Causal Inference
   2018/11/11 by Tanmayee Narendra, Anush Sankaran, Narendra, Tanmayee +5 · 10 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Advanced Neural Network Applications
3. Verifying Individual Fairness in Machine Learning Models
   2020/06/21 by Philips George John, Deepak Vijaykeerthy, John, Philips George +3 · 6 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Debugging Machine Learning Tasks
   2016/03/23 by Aleksandar Chakarov, Aditya V. Nori, Chakarov, Aleksandar +7 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #D.2.5 #FOS: Computer and information sciences #I.2.3 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Programming Languages (cs.PL) #Software Engineering Research #Software Reliability and Analysis Research