* - Equal contribution

Preprints and workshop papers

• ImmunoFoundation: A Multimodal Foundation Model for Immunogenicity Prediction and Peptide Optimization
  João Felipe Rocha*, Hiren Madhu*, et al.
  Foundation Models for the Life Sciences Workshop, ICML 2026
  [OpenReview]

Conference and journal publications

• HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
  Hiren Madhu, Ngoc Bui, Ali Maatouk, Leandros Tassiulas, Smita Krishnaswamy, Menglin Yang, Sukanta Ganguly, Kiran Srinivasan, Rex Ying
  International Conference on Machine Learning, 2026
  [Arxiv] [Code]

• HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
  Hiren Madhu, João Felipe Rocha, Tinglin Huang, Siddharth Viswanath, Smita Krishnaswamy, Rex Ying
  International Conference on Learning Representations, 2026
  [Arxiv] [Code] [Slides]

• 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, Dave Johnson, Rex Ying, Christopher Tape, Ian Adelstein, Michael Perlmutter, Smita Krishnaswamy
  Neural Information Processing Systems, 2025
  [Arxiv] [Code]

• HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
  Neil He*, Rishabh Anand*, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying
  Neural Information Processing Systems, 2025
  [Arxiv] [Code]

• Hyperbolic Deep Learning for Foundation Models: A Survey
  Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying
  Tutorial, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
  [ACM]

• Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
  Hiren Madhu*, Sravanthi Gurugubelli*, Sundeep Prabhakar Chepuri
  Forty-first International Conference on Machine Learning
  [Website] [Code]
• TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
  Hiren Madhu, Sundeep Prabhakar Chepuri
  Neural Information Processing Systems, 2023
  [Website] [Code]
• 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, Prasenjit Majumder
  Expert Systems with Applications
  [Paper]

Shared task overview papers

• 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, Sandip Modha, Hiren Madhu, Tharindu Ranasinghe, Marcos Zampieri, Kai North, Damith Premasiri
  FIRE 2022: Forum for Information Retrieval Evaluation
  [Paper]
• 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, Prasenjit Majumder, Shrey Satapara, Tithi Patel, Hiren Madhu
  FIRE 2022: Forum for Information Retrieval Evaluation
  [Paper]
• Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages and Conversational Hate Speech
  S. Modha, T. Mandl, G. Shahi, H. Madhu, S. Satapara, T. Ranasinghe, M. Zampieri
  FIRE 2021: Forum for Information Retrieval Evaluation
  [Paper]
• Overview of the HASOC Subtrack at FIRE 2021: Conversational Hate Speech Detection in Code-mixed language
  Shrey Satapara, Sandip Modha, Thomas Mandl, Hiren Madhu, Prasenjit Majumder
  Working Notes of FIRE, 2021
  [Paper]

Shared task participant papers

• Analysis On Identification Of Hate Speech In Indo-European Languages With Fine-Tuned Transformers
  H. Madhu, S. Satapara, H. Rathod
  FIRE ’20, Forum for Information Retrieval Evaluation, December 16–20, 2020, Hyderabad, India
  [Paper]