Abhijith Gandrakota

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards a Self-Driving Trigger at the LHC: Adaptive Response in Real Time. CoRR Shaghayegh Emami, Cecilia Tosciri, Giovanna Salvi, Zixin Ding, Yuxin Chen, Abhijith Gandrakota, Christian Herwig, David W. Miller, Jennifer Ngadiuba, Nhan Tran
2025	J	`jnl`	An Evaluation of Representation Learning Methods in Particle Physics Foundation Models. CoRR Michael Chen, Raghav Kansal, Abhijith Gandrakota, Zichun Hao, Jennifer Ngadiuba, Maria Spiropulu
2025	J	`jnl`	RINO: Renormalization Group Invariance with No Labels. CoRR Zichun Hao, Raghav Kansal, Abhijith Gandrakota, Chang Sun, Jennifer Ngadiuba, Javier M. Duarte, Maria Spiropulu
2025	J	`jnl`	Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging. CoRR Aaron Wang, Zihan Zhao, Subash Katel, Vivekanand Sahu, Elham E Khoda, Abhijith Gandrakota, Jennifer Ngadiuba, Richard Cavanaugh, Javier M. Duarte
2025	J	`jnl`	Sub-microsecond Transformers for Jet Tagging on FPGAs. CoRR Lauri Laatu, Chang Sun, Arianna Cox, Abhijith Gandrakota, Benedikt Maier, Jennifer Ngadiuba, Zhiqiang Que, Wayne Luk, Maria Spiropulu, Alexander D. Tapper
2025	J	`jnl`	hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware. CoRR Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun, Jovan Mitrevski, Nicolò Ghielmetti, Enrico Lupi, Dimitrios Danopoulos, Vladimir Loncar, Javier M. Duarte, David Burnette, Lauri Laatu, Stylianos Tzelepis, Konstantinos Axiotis, Quentin Berthet, Haoyan Wang, Paul White, Suleyman Demirsoy, Marco Colombo, Thea Aarrestad, Sioni Summers, Maurizio Pierini, Giuseppe Di Guglielmo, Jennifer Ngadiuba, Javier Campos, Benjamin Hawks, Abhijith Gandrakota, Farah Fahim, Nhan Tran, George A. Constantinides, Zhiqiang Que, Wayne Luk, Alexander D. Tapper, Duc Hoang, Noah Paladino, Philip C. Harris, Bo-Cheng Lai, Manuel Blanco Valentin, Ryan F. Forelli, Seda Ogrenci, Lino Gerlach, Rian Flynn, Mia Liu, Daniel Diaz, Elham E Khoda, Melissa Quinnan, Russell Solares, Santosh Parajuli, Mark S. Neubauer, Christian Herwig, Ho Fung Tsoi, Dylan S. Rankin, Shih-Chieh Hsu, Scott Hauck
2024	J	`jnl`	Interpreting Transformers for Jet Tagging. CoRR Aaron Wang, Abhijith Gandrakota, Jennifer Ngadiuba, Vivekanand Sahu, Priyansh Bhatnagar, Elham E Khoda, Javier M. Duarte
2024	J	`jnl`	Real-time Anomaly Detection at the L1 Trigger of CMS Experiment. CoRR Abhijith Gandrakota
2024	J	`jnl`	Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning. CoRR Abhijith Gandrakota, Lily H. Zhang, Aahlad Manas Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran
2024	J	`jnl`	Robust anomaly detection for particle physics using multi-background representation learning. Mach. Learn. Sci. Technol. Abhijith Gandrakota, Lily H. Zhang, Aahlad Manas Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran
2023	J	`jnl`	Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation. CoRR Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023	J	`jnl`	Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder. CoRR Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2022	J	`jnl`	Physics Community Needs, Tools, and Resources for Machine Learning. CoRR Philip C. Harris, Erik Katsavounidis, William Patrick McCormack, Dylan S. Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark S. Neubauer, Javier M. Duarte, Georgia Karagiorgi, Mia Liu