Pratik Prabhanjan Brahma

According to our database, Pratik Prabhanjan Brahma authored at least 16 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference.

Aditya Kumar Singh, Hitesh Kandala, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

CoRR, February, 2026

AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection.

Pretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

CoRR, February, 2026

2025

Instella: Fully Open Language Models with Stellar Performance.

Jiang Liu, Jialian Wu, Xiaodong Yu, Yusheng Su, Prakamya Mishra, Gowtham Ramesh, Sudhanshu Ranjan, Chaitanya Manem, Ximeng Sun, Ze Wang, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

CoRR, November, 2025

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks.

Jianghui Wang, Vinay Joshi, Saptarshi Majumder, Xu Chao, Bin Ding, Ziqiong Liu, Pratik Prabhanjan Brahma, Dong Li, Zicheng Liu, Emad Barsoum

CoRR, July, 2025

SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and Answers.

Chaitanya Manem, Pratik Prabhanjan Brahma, Prakamya Mishra, Zicheng Liu, Emad Barsoum

CoRR, July, 2025

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering.

Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

CoRR, June, 2025

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering.

Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2021

Single Shot Multitask Pedestrian Detection and Behavior Prediction.

Prateek Agrawal, Pratik Prabhanjan Brahma

CoRR, 2021

Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles.

Weihuang Xu, Nasim Souly, Pratik Prabhanjan Brahma

Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

2019

Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction.

Luca Anthony Thiede, Pratik Prabhanjan Brahma

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Reinforced Robust Principal Component Pursuit.

Pratik Prabhanjan Brahma, Yiyuan She, Shijie Li, Jiade Li, Dapeng Oliver Wu

IEEE Trans. Neural Networks Learn. Syst., 2018

Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs.

Pratik Prabhanjan Brahma, Qiuyuan Huang, Dapeng Oliver Wu

CoRR, 2018

Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems.

Pratik Prabhanjan Brahma, Adrienne Othon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2016

Why Deep Learning Works: A Manifold Disentanglement Perspective.

Pratik Prabhanjan Brahma, Dapeng Wu, Yiyuan She

IEEE Trans. Neural Networks Learn. Syst., 2016

Cross-layer personalization as a first-class citizen for situation awareness and computer infrastructure security.

Aokun Chen, Pratik Prabhanjan Brahma, Dapeng Oliver Wu, Natalie C. Ebner, Brandon Matthews, Jedidiah R. Crandall, Xuetao Wei, Michalis Faloutsos, Daniela Oliveira

Proceedings of the 2016 New Security Paradigms Workshop, 2016

2015

Prediction of Sunspot Number Using Minimum Error Entropy Cost Based Kernel Adaptive Filters.

Pratik Prabhanjan Brahma

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015