For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems. - Alexander Erlei; Richeek Das; Lukas Meub; Avishek Anand; Ujwal Gadiraju (CHI, 2022)

A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. - Alex Markham; Richeek Das; Moritz Grosse-Wentrup (CLeaR, 2022)

Exploring Deeper Graph Convolutions for Semi-Supervised Node Classification. - Ashish Tiwari 005; Richeek Das; Shanmuganathan Raman (ICASSP, 2022)

Improving Pretraining Techniques for Code-Switched NLP. - Richeek Das; Sahasra Ranjan; Shreya Pathak; Preethi Jyothi (ACL (1), 2023)

Fairer and More Accurate Tabular Models Through NAS. - Richeek Das; Samuel Dooley (CoRR, 2023)

Performance bounds for LASSO under multiplicative LogNormal noise: Applications to pooled RT-PCR testing. - Richeek Das; Aaron Jerry Ninan; Adithya Bhaskar; Ajit Rajwade 001 (Signal Process., 2024)