Action classification using a discriminative non-parametric Hidden Markov Model. - Natraj Raman; Stephen J. Maybank; Dell Zhang (ICMV, 2013)

Action classification using a discriminative multilevel HDP-HMM. - Natraj Raman; Stephen J. Maybank (Neurocomputing, 2015)

Non-parametric Hidden Conditional Random Fields for action classification. - Natraj Raman; Stephen J. Maybank (IJCNN, 2016)

Activity recognition using a supervised non-parametric hierarchical HMM. - Natraj Raman; Stephen J. Maybank (Neurocomputing, 2016)

Action recognition in depth videos using nonparametric probabilistic graphical models. - Natraj Raman (2016)

A comparison of classification models for natural disaster and critical event detection from news. - Timothy Nugent; Fabio Petroni; Natraj Raman; Lucas Carstens; Jochen L. Leidner (IEEE BigData, 2017)

An Extensible Event Extraction System With Cross-Media Event Resolution. - Fabio Petroni; Natraj Raman; Timothy Nugent; Armineh Nourbakhsh; Zarko Panic; Sameena Shah; Jochen L. Leidner (KDD, 2018)

MultiGraph Attention Network for analyzing Company Relations. - Natraj Raman; Grace Bang; Azadeh Nematzadeh (ICCPR, 2019)

Financial Market Data Simulation Using Deep Intelligence Agents. - Natraj Raman; Jochen L. Leidner (PAAMS, 2019)

Robust Document Representations using Latent Topics and Metadata. - Natraj Raman; Armineh Nourbakhsh; Sameena Shah; Manuela Veloso (CoRR, 2020)

Mapping ESG Trends by Distant Supervision of Neural Language Models. - Natraj Raman; Grace Bang; Armineh Nourbakhsh (Mach. Learn. Knowl. Extr., 2020)

Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. - Natraj Raman; Armineh Nourbakhsh; Sameena Shah; Manuela Veloso (FLAIRS, 2021)

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain. - Raj Sanjay Shah; Kunal Chawla; Dheeraj Eidnani; Agam Shah; Wendi Du; Sudheer Chava; Natraj Raman; Charese Smiley; Jiaao Chen; Diyi Yang (EMNLP, 2022)

Structure and Semantics Preserving Document Representations. - Natraj Raman; Sameena Shah; Manuela Veloso (SIGIR, 2022)

SEBI Regulation Biography. - Sathvik Sanjeev Buggana; Deepti Saravanan; Shravya Kanchi; Ujwal Narayan; Shivam Mangale; Lini T. Thomas; Kamalakar Karlapalem; Natraj Raman (WWW (Companion Volume), 2022)

Detecting Regulation Violations for an Indian Regulatory Body through Multi Label Classification. - Ujwal Narayan; Pulkit Parikh; Kamalakar Karlapalem; Natraj Raman (WWW (Companion Volume), 2022)

Structure with Semantics: Exploiting Document Relations for Retrieval. - Natraj Raman; Sameena Shah; Manuela Veloso (CoRR, 2022)

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. - Raj Sanjay Shah; Kunal Chawla; Dheeraj Eidnani; Agam Shah; Wendi Du; Sudheer Chava; Natraj Raman; Charese Smiley; Jiaao Chen; Diyi Yang (CoRR, 2022)

Synthetic document generator for annotation-free layout recognition. - Natraj Raman; Sameena Shah; Manuela Veloso (Pattern Recognit., 2022)

Bayesian Hierarchical Models for Counterfactual Estimation. - Natraj Raman; Daniele Magazzeni; Sameena Shah (AISTATS, 2023)

BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. - Petr Babkin; William Watson; Zhiqiang Ma; Lucas Cecchi; Natraj Raman; Armineh Nourbakhsh; Sameena Shah (SIGIR, 2023)

Aspect-based Summarization of Legal Case Files using Sentence Classification. - Nikhil E; Anshul Padhi; Pulkit Parikh; Swati Kanwal; Kamalakar Karlapalem; Natraj Raman (WWW (Companion Volume), 2023)

Synthetic Text Generation using Hypergraph Representations. - Natraj Raman; Sameena Shah (CoRR, 2023)

DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding. - Dongsheng Wang 005; Natraj Raman; Mathieu Sibue; Zhiqiang Ma; Petr Babkin; Simerjot Kaur; Yulong Pei; Armineh Nourbakhsh; Xiaomo Liu (ACL (1), 2024)

Synthetic Data Applications in Finance. - Vamsi K. Potluru; Daniel Borrajo; Andrea Coletta; Niccolò Dalmasso; Yousef El-Laham; Elizabeth Fons; Mohsen Ghassemi; Sriram Gopalakrishnan; Vikesh Gosai; Eleonora Kreacic; Ganapathy Mani; Saheed Obitayo; et al. (CoRR, 2024)

Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. - Tianyu Cao; Natraj Raman; Danial Dervovic; Chenhao Tan (CoRR, 2024)

Scalable Representation Learning for Multimodal Tabular Transactions. - Natraj Raman; Sumitra Ganesh; Manuela Veloso (CoRR, 2024)

Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. - Ayan Sengupta; Vaibhav Seth; Arinjay Pathak; Natraj Raman; Sriram Gopalakrishnan; Tanmoy Chakraborty 002 (CoRR, 2024)

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. - Yinhan He; Wendy Zheng; Yaochen Zhu; Jing Ma 002; Saumitra Mishra; Natraj Raman; Ninghao Liu; Jundong Li (Trans. Mach. Learn. Res., 2025)

Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. - Vaibhav Seth; Ayan Sengupta; Arinjay Pathak; Aastha A K. Verma; Natraj Raman; Sriram Gopalakrishnan; Niladri Chatterjee; Tanmoy Chakraborty 002 (Trans. Mach. Learn. Res., 2025)

Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. - Harit Vishwakarma; Alan Mishler; Thomas Cook; Niccolò Dalmasso; Natraj Raman; Sumitra Ganesh (CoRR, 2025)