Chaitanya Dwivedi

11 papers A 1B 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Code Mixologist : A Practitioner's Guide to Building Code-Mixed LLMs.
CoRR
Himanshu Gupta, Pratik Jayarao, Chaitanya Dwivedi, Neeraj Varshney
2025 J jnl
Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness.
CoRR
Pratik Jayarao, Himanshu Gupta, Neeraj Varshney, Chaitanya Dwivedi
2025 B conf
Intelligent Sampling for Predicting the Performance of Hub-based Swarms.
RO-MAN
Puneet Jain, Chaitanya Dwivedi, Michael A. Goodrich
2024 J jnl
Performance Prediction of Hub-Based Swarms.
CoRR
Puneet Jain, Chaitanya Dwivedi, Vigynesh Bhatt, Nick Smith, Michael A. Goodrich
2023 — conf
Personalized Dense Retrieval on Global Index for Voice-enabled Conversational Systems.
EMNLP (Industry Track)
Masha Belyi, Charlotte Dzialo, Chaitanya Dwivedi, Prajit Muppidi, Kanna Shimizu
2022 — conf
Multi stain graph fusion for multimodal integration in pathology.
CVPR Workshops
Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz
2022 J jnl
Multi stain graph fusion for multimodal integration in pathology.
CoRR
Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz
2021 A conf
Deep kernels with probabilistic embeddings for small-data learning.
UAI
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
2020 J jnl
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.
CoRR
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
2019 J jnl
Deep Probabilistic Kernels for Sample-Efficient Learning.
CoRR
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
2018 — conf
Keystroke dynamics based biometric authentication: A hybrid classifier approach.
SSCI
Chaitanya Dwivedi, Divyanshu Kalra, Divesh Naidu, Swati Aggarwal
requirements.txt
← Index requirements.txt plaintext 
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dotnetfile==0.2.4
elasticsearch==8.15.0
magika==1.0.1
modules==1.0.0
pefile==2023.2.7
py7zr==0.22.0
python-magic==0.4.27
pyzipper==0.3.6
py-tlsh==4.7.2
bitstring==4.2.3
Pillow==10.4.0
setuptools==75.1.0
ppdeep==20200505
cryptography==43.0.3
flare-floss==3.1.1
#stringsifter==3.20230711
signify==0.7.1
yara-x==1.9.0
xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

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