Bayesian Convolutional Neural Networks. - Felix Laumann; Kumar Shridhar; Adrian Llopart Maurin (CoRR, 2018)

A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference. - Kumar Shridhar; Felix Laumann; Marcus Liwicki (CoRR, 2019)

Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages. - Kushal Jain; Adwait P. Deshpande; Kumar Shridhar; Felix Laumann; Ayushman Dash (CoRR, 2020)

One to Rule Them All: Towards Joint Indic Language Hate Speech Detection. - Mehar Bhatia; Tenzin Singhay Bhotia; Akshat Agarwal; Prakash Ramesh; Shubham Gupta; Kumar Shridhar; Felix Laumann; Ayushman Dash (FIRE (Working Notes), 2021)

A continuous Structural Intervention Distance to compare Causal Graphs. - Mihir Dhanakshirur; Felix Laumann; Junhyung Park; Mauricio Barahona (CoRR, 2023)

Kernel-Based Independence Tests for Causal Structure Learning on Functional Data. - Felix Laumann; Julius von Kügelgen; Junhyung Park; Bernhard Schölkopf; Mauricio Barahona (Entropy, 2023)