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ORCIDNatraj Raman
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2020 – today
- 2024
[c15]Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu:
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding. ACL (1) 2024: 8529-8548- [i12]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, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. CoRR abs/2401.00081 (2024) - [i11]Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu:
DocLLM: A layout-aware generative language model for multimodal document understanding. CoRR abs/2401.00908 (2024) - [i10]Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan:
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. CoRR abs/2404.06162 (2024) - [i9]Natraj Raman, Sumitra Ganesh, Manuela Veloso:
Scalable Representation Learning for Multimodal Tabular Transactions. CoRR abs/2410.07851 (2024) - [i8]Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li:
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. CoRR abs/2410.19978 (2024) - [i7]Ayan Sengupta, Vaibhav Seth, Arinjay Pathak, Natraj Raman, Sriram Gopalakrishnan, Tanmoy Chakraborty:
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. CoRR abs/2411.04358 (2024) - 2023
- [c14]Natraj Raman, Daniele Magazzeni, Sameena Shah:
Bayesian Hierarchical Models for Counterfactual Estimation. AISTATS 2023: 1115-1128 - [c13]Petr Babkin
, William Watson, Zhiqiang Ma, Lucas Cecchi, Natraj Raman, Armineh Nourbakhsh, Sameena Shah:
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. SIGIR 2023: 2691-2700 - [c12]Nikhil E, Anshul Padhi, Pulkit Parikh, Swati Kanwal, Kamalakar Karlapalem, Natraj Raman:
Aspect-based Summarization of Legal Case Files using Sentence Classification. WWW (Companion Volume) 2023: 1249-1252 - [i6]Natraj Raman, Daniele Magazzeni, Sameena Shah:
Bayesian Hierarchical Models for Counterfactual Estimation. CoRR abs/2301.08833 (2023) - [i5]Natraj Raman, Sameena Shah:
Synthetic Text Generation using Hypergraph Representations. CoRR abs/2309.06550 (2023) - 2022
- [j4]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128: 108660 (2022) - [c11]Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain. EMNLP 2022: 2322-2335 - [c10]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. SIGIR 2022: 780-790 - [c9]Sathvik Sanjeev Buggana, Deepti Saravanan, Shravya Kanchi, Ujwal Narayan, Shivam Mangale, Lini T. Thomas, Kamalakar Karlapalem, Natraj Raman:
SEBI Regulation Biography. WWW (Companion Volume) 2022: 598-603 - [c8]Ujwal Narayan, Pulkit Parikh, Kamalakar Karlapalem, Natraj Raman:
Detecting Regulation Violations for an Indian Regulatory Body through Multi Label Classification. WWW (Companion Volume) 2022: 610-614 - [i4]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022) - [i3]Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. CoRR abs/2211.00083 (2022) - 2021
- [c7]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS 2021 - [i2]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic Document Generator for Annotation-free Layout Recognition. CoRR abs/2111.06016 (2021) - 2020
- [j3]Natraj Raman, Grace Bang, Armineh Nourbakhsh:
Mapping ESG Trends by Distant Supervision of Neural Language Models. Mach. Learn. Knowl. Extr. 2(4): 453-468 (2020) - [i1]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020)
2010 – 2019
- 2019
- [c6]Natraj Raman, Grace Bang, Azadeh Nematzadeh:
MultiGraph Attention Network for analyzing Company Relations. ICCPR 2019: 426-433 - [c5]Natraj Raman, Jochen L. Leidner:
Financial Market Data Simulation Using Deep Intelligence Agents. PAAMS 2019: 200-211 - 2018
- [c4]Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner:
An Extensible Event Extraction System With Cross-Media Event Resolution. KDD 2018: 626-635 - 2017
- [c3]Timothy Nugent, Fabio Petroni, Natraj Raman, Lucas Carstens, Jochen L. Leidner:
A comparison of classification models for natural disaster and critical event detection from news. IEEE BigData 2017: 3750-3759 - 2016
- [b1]Natraj Raman:
Action recognition in depth videos using nonparametric probabilistic graphical models. Birkbeck, University of London, UK, 2016 - [j2]Natraj Raman, Stephen J. Maybank:
Activity recognition using a supervised non-parametric hierarchical HMM. Neurocomputing 199: 163-177 (2016) - [c2]Natraj Raman, Stephen J. Maybank:
Non-parametric Hidden Conditional Random Fields for action classification. IJCNN 2016: 3256-3263 - 2015
- [j1]Natraj Raman, Stephen J. Maybank:
Action classification using a discriminative multilevel HDP-HMM. Neurocomputing 154: 149-161 (2015) - 2013
- [c1]Natraj Raman, Stephen J. Maybank, Dell Zhang:
Action classification using a discriminative non-parametric Hidden Markov Model. ICMV 2013: 906710
Coauthor Index
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