Astralis @ HASOC 2020: Analysis On Identification Of Hate Speech In Indo-European Languages With Fine-Tuned Transformers. - Hiren Madhu; Shrey Satapara; Harsh Rathod (FIRE (Working Notes), 2020)

Overview of the HASOC Subtrack at FIRE 2021: HateSpeech and Offensive Content Identification in English and Indo-Aryan Languages. - Thomas Mandl 001; Sandip Modha; Gautam Kishore Shahi; Hiren Madhu; Shrey Satapara; Prasenjit Majumder; Johannes Schäfer; Tharindu Ranasinghe; Marcos Zampieri; Durgesh Nandini; Amit Kumar Jaiswal (FIRE (Working Notes), 2021)

Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages and Conversational Hate Speech. - Sandip Modha; Thomas Mandl 001; Gautam Kishore Shahi; Hiren Madhu; Shrey Satapara; Tharindu Ranasinghe; Marcos Zampieri (FIRE, 2021)

Overview of the HASOC Subtrack at FIRE 2021: Conversational Hate Speech Detection in Code-mixed language. - Shrey Satapara; Sandip Modha; Thomas Mandl 001; Hiren Madhu; Prasenjit Majumder (FIRE (Working Notes), 2021)

Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages. - Thomas Mandl 001; Sandip Modha; Gautam Kishore Shahi; Hiren Madhu; Shrey Satapara; Prasenjit Majumder; Johannes Schäfer; Tharindu Ranasinghe; Marcos Zampieri; Durgesh Nandini; Amit Kumar Jaiswal (CoRR, 2021)

Overview of the HASOC Subtrack at FIRE 2022: Identification of Conversational Hate-Speech in Hindi-English Code-Mixed and German Language. - Sandip Modha; Thomas Mandl 001; Prasenjit Majumder; Shrey Satapara; Tithi Patel; Hiren Madhu (FIRE (Working Notes), 2022)

Overview of the HASOC Subtrack at FIRE 2022: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages. - Shrey Satapara; Prasenjit Majumder; Thomas Mandl 001; Sandip Modha; Hiren Madhu; Tharindu Ranasinghe; Marcos Zampieri; Kai North; Damith Premasiri (FIRE, 2022)

Overview of the HASOC Subtrack at FIRE 2023: Identification of Conversational Hate-Speech. - Hiren Madhu; Shrey Satapara; Pavan Pandya; Nisarg Shah 005; Thomas Mandl 001; Sandip Modha (FIRE (Working Notes), 2023)

Overview of the HASOC Subtracks at FIRE 2023: Detection of Hate Spans and Conversational Hate-Speech. - Shrey Satapara; Sarah Masud; Hiren Madhu; Mohammad Aflah Khan; Md. Shad Akhtar; Tanmoy Chakraborty 002; Sandip Modha; Thomas Mandl 001 (FIRE, 2023)

Overview of the HASOC Subtrack at FIRE 2023: Hate-Speech Identification in Sinhala and Gujarati. - Shrey Satapara; Hiren Madhu; Tharindu Ranasinghe; Alphaeus Eric Dmonte; Marcos Zampieri; Pavan Pandya; Nisarg Shah 005; Sandip Modha; Prasenjit Majumder; Thomas Mandl 001 (FIRE (Working Notes), 2023)

TopoSRL: Topology preserving self-supervised Simplicial Representation Learning. - Hiren Madhu; Sundeep Prabhakar Chepuri (NeurIPS, 2023)

Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments. - Hiren Madhu; Shrey Satapara; Sandip Modha; Thomas Mandl 001; Prasenjit Majumder (Expert Syst. Appl., 2023)

Variational Self-Supervised Learning on Simplicial Complexes. - Ayushman Raghuvanshi; Sravanthi Gurugubelli; Hiren Madhu; Sundeep Prabhakar Chepuri (IEEECONF, 2024)

Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms. - Hiren Madhu; Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (ICML, 2024)

HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data. - Siddharth Viswanath; Hiren Madhu; Dhananjay Bhaskar; Jake Kovalic; David R. Johnson; Rex Ying; Christopher J. Tape; Ian Adelstein; Michael Perlmutter; Smita Krishnaswamy (CoRR, 2025)

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts. - Neil He; Rishabh Anand; Hiren Madhu; Ali Maatouk; Smita Krishnaswamy; Leandros Tassiulas; Menglin Yang 001; Rex Ying (CoRR, 2025)

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data. - Hiren Madhu; João F. Rocha; Tinglin Huang; Siddharth Viswanath; Smita Krishnaswamy; Rex Ying (CoRR, 2025)

Hyperbolic Deep Learning for Foundation Models: A Survey. - Neil He; Hiren Madhu; Ngoc Bui; Menglin Yang 001; Rex Ying (CoRR, 2025)

Embedding Alignment in Code Generation for Audio. - Sam Kouteili; Hiren Madhu; George Typaldos; Mark Santolucito (CoRR, 2025)