3 papers
q-bio.QM2026
-adic Bi-Filtrations for Topological Machine Learning on Genomic Sequences
Tirtharaj Dash, Gunja Sachdeva
We introduce pVR, a topological machine learning framework for alignment-free genomic sequence classification that combines -adic numbers with topological data analysis. Each DN…
cs.LG2026
Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
Ashwin Srinivasan, Tirtharaj Dash, A Baskar +3
We investigate a relatively under-explored class of hybrid neurosymbolic models that integrate symbolic learning with neural reasoning to construct data generators meeting formal c…
cs.LG2026
BIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networks
Tirtharaj Dash
Tabular data in knowledge-rich domains often carries a latent prior in the form of Boolean implication relationships (BIRs) between pairs of features. We mine such relationships wi…