Bayesian Reasoning And INference

Welcome to the web page of Bayesian Reasoning And INference (BRAIN) research group associated with the  Computer Science and Engineering and Artificial Intelligence Departments at Indian Institute of Technology Hyderabad. Our research group works on  probabilistic machine learning, Bayesian learning and deep learning models and algorithms  to solve problems arising in the domain of Artificial Intelligence such as  natural language processing and computer vision  and  application areas such as social networks, web, astrophysics, autonomous navigation, smart mobility etc.

News

• Paper by Manisha Dubey on HyperHawkes : Time-to-Event Modeling with Hypernetwork based Hawkes Process accepted at KDD 2023.

• Paper by Srinivas Anumasa on Continuous Depth Recurrent Neural Differential Equations accepted at the ECML-PKDD 2023. 

• Manisha Dubey successfully defends her thesis on Improving Spatio-temporal modeling with Hawkes process . Congratulations !

• JICA funding for the Causal Inference project in colloboration with Dr. Emtiyaz Khan from RIKEN-AIP, Japan.

• Srinivas Anumasa successfully defends his thesis on Continuous Deep Learning with Neural Differential Equations. Congratulations !

• Sony Research Award  on Continual Learning.  Research positions available at all levels, interested students/researchers may contact. 

• Co-organizing  the 14th Asian Conference on Machine Learning (ACML) 2022 in Hyderabad, India. More details here

• SERB funding for the project on continual learning for vision and language. Ph.D., M.Tech (RA) and Project Assistant positions available !  Students interested in long term internship may also contact. 

• Paper by Srikar Dupati on  Continual Learning with Dependency Preserving Hypernetworks  accepted at WACV 2023.

• Sakshi Varshney successfully defends her thesis on Advancing Generative Adversarial Networks for Modeling Data. Congratulations !

• Paper by Manisha Dubey on Hawkes Process Classification through Discriminative Modeling of Text accepted at IEEE  IJCNN 2022.

• Paper by  Srinivas Anumasa on Latent Time Neural Ordinary Differential Equations accepted at AAAI 2022.

• Manisha Dubey receives Intel India Research Fellowship

• Paper by Sakshi Varshney  on  Continual Adaptation Modules for Generative Adversarial Networks accepted at NeurIPS 2021.

• Paper by  Manisha Dubey on Multi-view Hypergraph Convolution Network for Semantic Annotation in LBSNs accepted at ASONAM 2021. 

• Srikar Dupati selected for the PMRF PhD  scholarship. 

• Co-organizing Natural Language Processing session in the AIML vertical in Vaibhav Summit 2020. More details here

• Unrestricted research grant from Accenture Technology for learning from alternative data sources.

• Nvidia Project on Bayesian deep learning for computer vision and autonomous driving. 

• DST funding for two projects, Towards Developing Next-generation Deep Learning, and Machine Learning for Astrophysical Data Analysis. Ph.D. and M.Tech (RA) positions available ! 

• Organising IITH and RIKEN-AIP joint workshop on Artificial Intelligence during March 15-16, 2019 at IIT Hyderabad. 

• Talk on convolutional deep Gaussian processes at IIT Bombay and AIRC Tokyo.

• #Keralaflood Please visit our website which live stream tweets on resources availability and requirement kerala flood resources. Talk on Kerala floods rescue related efforts at ICSET 2018.

• Talk on deep Gaussian processes at the 3rd Indian workshop on machine learning during july 1-3 

• JICA funding for the Bayesian Deep Learning project in collaboration with Dr. Emtiyaz Khan from RIKEN Centre for Advanced Intelligence project, Tokyo.

• Talk at the Workshop on Analysis and Inference from Unstructured Data during Oct 9-10 at Indian Institute of Science on Social Network Analysis using Point Processes.

• SERB funding for social network analysis project using point processes, deep learning and topic modelling.