Laboratory of Statistical Artificial Intelligence and Machine Learning
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About Us
We work on fundamental artificial intelligence and machine learning problems, in particular generalisability (through transfer learning, meta-learning, zero-shot learning, and few-shot learning), generative models, and explainability. Our research is inspired from applications in computer vision, remote sensing, ubiquitous computing and ICT4D. The image on the left is a word cloud of the publications from the lab (courtesy: wordle) |
Prospective PhD and MS Research Students
The lab is looking for students technically strong in Mathematics and Computer Science interested in the data science, machine learning, deep learning and allied areas. Prospective students must possess excellent programming and communication skills. Please contact if you are one of them. The lab is also interested in industry/health care related problems that can be solved using data science and machine learning techniques. Please reach out if you have an interesting problem.
Summer Internship
Students technically strong in Mathematics and Computer Science with an aptitude for data mining, ubiquitous computing and related fields may apply through the INSA SRF program. The lab will not be taking students outside this program and will not be able to respond to your individual queries.
Recent News
CK is serving as a PC member/reviewer for AAAI, ICML, NeurIPS, ICLR, KDD, and CVPR 2022.
Congratulations Aroof for securing PhD internship at Wadhwani Institute of Artificial Intelligence
Algorithmic Recourse based on User's Feature-order Preference, accepted to ACM CODS-COMAD, Young Research Symposium, Congratulations Manan, and our collaborators Shivam and Dr. Jain from IIT Ropar and Srinivas and Dr. Ghalme from IIT Hyderabad
CK delivered a few lectures on machine learning and deep learning at Tipping Points in Complex Systems School, ICTS Bengaluru.
CK received DST-SERB-ITS support to participate in WCCI 2022
Pho(SC)-CTC - A Hybrid Approach Towards Zero-shot Word Image Recognition, accepted to IJDAR. Congratulations Ravi, Bharat, and our collaborator Dr. Chanda
Adversarial Projections to Tackle Support-Query Shits in Few-shot Meta-Learning accepted to ECML-PKDD 2022, Congratulations Aroof and Bharat
Explainable Domain Adaptation, accepted to IJCNN 2022, Congratulations Vidhya
Deciphering Meta-Initialized and Optimized Neural Networks, accepted to the RBCDSAI-FCAI conference on Deployable AI. Congratulations Aroof, Hansin, and Sahil
CK has moved to the Department of Data Science at IIT Palakkad
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