Pratik Prabhanjan Brahma

17 papers A* 1C 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection. CoRR Pretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2026	J	`jnl`	DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference. CoRR Aditya Kumar Singh, Hitesh Kandala, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks. CoRR Jianghui Wang, Vinay Joshi, Saptarshi Majumder, Xu Chao, Bin Ding, Ziqiong Liu, Pratik Prabhanjan Brahma, Dong Li, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Instella: Fully Open Language Models with Stellar Performance. CoRR 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
2025	J	`jnl`	SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and Answers. CoRR Chaitanya Manem, Pratik Prabhanjan Brahma, Prakamya Mishra, Zicheng Liu, Emad Barsoum
2025	—	`conf`	TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering. ACL (6) Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering. CoRR Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2021	—	`conf`	Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles. WACV (Workshops) Weihuang Xu, Nasim Souly, Pratik Prabhanjan Brahma
2021	J	`jnl`	Single Shot Multitask Pedestrian Detection and Behavior Prediction. CoRR Prateek Agrawal, Pratik Prabhanjan Brahma
2019	A*	`conf`	Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. ICCV Luca Anthony Thiede, Pratik Prabhanjan Brahma
2019	J	`jnl`	Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. CoRR Luca Anthony Thiede, Pratik Prabhanjan Brahma
2018	J	`jnl`	Reinforced Robust Principal Component Pursuit. IEEE Trans. Neural Networks Learn. Syst. Pratik Prabhanjan Brahma, Yiyuan She, Shijie Li, Jiade Li, Dapeng Oliver Wu
2018	J	`jnl`	Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs. CoRR Pratik Prabhanjan Brahma, Qiuyuan Huang, Dapeng Oliver Wu
2018	—	`conf`	Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems. CVPR Workshops Pratik Prabhanjan Brahma, Adrienne Othon
2016	C	`conf`	Cross-layer personalization as a first-class citizen for situation awareness and computer infrastructure security. NSPW Aokun Chen, Pratik Prabhanjan Brahma, Dapeng Oliver Wu, Natalie C. Ebner, Brandon Matthews, Jedidiah R. Crandall, Xuetao Wei, Michalis Faloutsos, Daniela Oliveira
2016	J	`jnl`	Why Deep Learning Works: A Manifold Disentanglement Perspective. IEEE Trans. Neural Networks Learn. Syst. Pratik Prabhanjan Brahma, Dapeng Wu, Yiyuan She
2015	C	`conf`	Prediction of Sunspot Number Using Minimum Error Entropy Cost Based Kernel Adaptive Filters. ICMLA Pratik Prabhanjan Brahma