Satya Narayan Shukla

34 papers A* 4Misc 1Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. Trans. Mach. Learn. Res. Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2026	J	`jnl`	DREAM: Where Visual Understanding Meets Text-to-Image Generation. CoRR Chao Li, Tianhong Li, Sai Vidyaranya Nuthalapati, Hong-You Chen, Satya Narayan Shukla, Yonghuan Yang, Jun Xiao, Xiangjun Fan, Aashu Singh, Dina Katabi, Shlok Kumar Mishra
2026	J	`jnl`	Xray-Visual Models: Scaling Vision models on Industry Scale Data. CoRR Shlok Mishra, Tsung-Yu Lin, Linda Wang, Hongli Xu, Yimin Liu, Michael Hsu, Chaitanya Ahuja, Hao Yuan, Jianpeng Cheng, Hong-You Chen, Haoyuan Xu, Chao Li, Abhijeet Awasthi, Jihye Moon, Don Husa, Michael Ge, Sumedha Singla, Arkabandhu Chowdhury, Phong Dingh, Satya Narayan Shukla, Yonghuan Yang, David Jacobs, Qi Guo, Jun Xiao, Xiangjun Fan, Aashu Singh
2025	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. CoRR Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2025	J	`jnl`	BRIDLE: Generalized Self-supervised Learning with Quantization. CoRR Hoang M. Nguyen, Satya Narayan Shukla, Qiang Zhang, Hanchao Yu, Sreya Dutta Roy, Tai-Peng Tian, Lingjiong Zhu, Yuchen Liu
2025	J	`jnl`	StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding. CoRR Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang, Mengye Ren
2025	J	`jnl`	Think Then Embed: Generative Context Improves Multimodal Embedding. CoRR Xuanming Cui, Jianpeng Cheng, Hong-You Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan
2025	J	`jnl`	Transfer between Modalities with MetaQueries. CoRR Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, Ji Hou, Saining Xie
2024	J	`jnl`	CompCap: Improving Multimodal Large Language Models with Composite Captions. CoRR Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, Shengyun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He
2024	A*	`conf`	Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CVPR Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin
2024	J	`jnl`	Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CoRR Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin
2024	—	`conf`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2024	—	`conf`	uCAP: An Unsupervised Prompting Method for Vision-Language Models. ECCV (74) A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen, Satya Narayan Shukla, Hanchao Yu, Philip Torr, Tai-Peng Tian, Ser-Nam Lim
2023	—	`conf`	Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. ICCV (Workshops) Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim
2023	J	`jnl`	Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. CoRR Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim
2023	J	`jnl`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2023	J	`jnl`	Universal Pyramid Adversarial Training for Improved ViT Performance. CoRR Ping-Yeh Chiang, Yipin Zhou, Omid Poursaeed, Satya Narayan Shukla, Ashish Shah, Tom Goldstein, Ser-Nam Lim
2022	A*	`conf`	Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. ICLR Satya Narayan Shukla, Benjamin M. Marlin
2021	J	`jnl`	Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. CoRR Satya Narayan Shukla, Benjamin M. Marlin
2021	A*	`conf`	Multi-Time Attention Networks for Irregularly Sampled Time Series. ICLR Satya Narayan Shukla, Benjamin M. Marlin
2021	J	`jnl`	Multi-Time Attention Networks for Irregularly Sampled Time Series. CoRR Satya Narayan Shukla, Benjamin M. Marlin
2021	A*	`conf`	Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. KDD Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
2020	J	`jnl`	A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance. CoRR Satya Narayan Shukla, Benjamin M. Marlin
2020	J	`jnl`	Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. CoRR Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
2020	J	`jnl`	Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks. CoRR Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter
2020	J	`jnl`	Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. CoRR Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
2020	J	`jnl`	Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction. CoRR Satya Narayan Shukla, Benjamin M. Marlin
2019	J	`jnl`	Black-box Adversarial Attacks with Bayesian Optimization. CoRR Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
2019	—	`conf`	Interpolation-Prediction Networks for Irregularly Sampled Time Series. ICLR (Poster) Satya Narayan Shukla, Benjamin M. Marlin
2019	J	`jnl`	Interpolation-Prediction Networks for Irregularly Sampled Time Series. CoRR Satya Narayan Shukla, Benjamin M. Marlin
2018	J	`jnl`	Modeling Irregularly Sampled Clinical Time Series. CoRR Satya Narayan Shukla, Benjamin M. Marlin
2017	—	`conf`	Estimation of blood pressure from non-invasive data. EMBC Satya Narayan Shukla
2017	—	`conf`	Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. EMBC Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy
2015	Misc	`conf`	Noninvasive Cuffless Blood Pressure Measurement by Vascular Transit Time. VLSID Satya Narayan Shukla, Karan Kakwani, Amit Patra, Bipin Kumar Lahkar, Vivek Kumar Gupta, Alwar Jayakrishna, Puneet Vashisht, Induja Sreekanth