Anil Kag

According to our database, Anil Kag authored at least 33 papers between 2018 and 2026.

Collaborative distances:

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

2026

EFlow: Fast Few-Step Video Generator Training from Scratch via Efficient Solution Flow.

Dogyun Park, Yanyu Li, Sergey Tulyakov, Anil Kag

CoRR, March, 2026

One Model, Many Budgets: Elastic Latent Interfaces for Diffusion Transformers.

Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov, Dogyun Park, Anil Kag, Michael Vasilkovsky, Sergey Tulyakov, Vicente Ordonez, Aliaksandr Siarohin

CoRR, March, 2026

S2DiT: Sandwich Diffusion Transformer for Mobile Streaming Video Generation.

Lin Zhao, Yushu Wu, Aleksei Lebedev, Dishani Lahiri, Meng Dong, Arpit Sahni, Michael Vasilkovsky, Hao Chen, Ju Hu, Aliaksandr Siarohin, Sergey Tulyakov, Yanzhi Wang, Anil Kag, Yanyu Li

CoRR, January, 2026

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices.

Dongting Hu, Aarush Gupta, Magzhan Gabidolla, Arpit Sahni, Huseyin Coskun, Yanyu Li, Yerlan Idelbayev, Ahsan Mahmood, Aleksei Lebedev, Dishani Lahiri, Anujraaj Goyal, Ju Hu, Mingming Gong, Sergey Tulyakov, Anil Kag

CoRR, January, 2026

Diffusion-DRF: Differentiable Reward Flow for Video Diffusion Fine-Tuning.

Yifan Wang, Yanyu Li, Sergey Tulyakov, Yun Fu, Anil Kag

CoRR, January, 2026

2025

Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization.

Tsai-Shien Chen, Aliaksandr Siarohin, Guocheng Gordon Qian, Kuan-Chieh Jackson Wang, Egor Nemchinov, Moayed Haji-Ali, Riza Alp Güler, Willi Menapace, Ivan Skorokhodov, Anil Kag, Jun-Yan Zhu, Sergey Tulyakov

CoRR, December, 2025

Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers.

Dogyun Park, Moayed Haji-Ali, Yanyu Li, Willi Menapace, Sergey Tulyakov, Hyunwoo J. Kim, Aliaksandr Siarohin, Anil Kag

CoRR, October, 2025

Taming Diffusion Transformer for Real-Time Mobile Video Generation.

Yushu Wu, Yanyu Li, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ke Ma, Arpit Sahni, Ju Hu, Aliaksandr Siarohin, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov

CoRR, July, 2025

H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models.

Yushu Wu, Yanyu Li, Ivan Skorokhodov, Anil Kag, Willi Menapace, Sharath Girish, Aliaksandr Siarohin, Yanzhi Wang, Sergey Tulyakov

CoRR, April, 2025

DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models.

Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach.

Yunuo Chen, Junli Cao, Vidit Goel, Sergei Korolev, Chenfanfu Jiang, Jian Ren, Sergey Tulyakov, Anil Kag

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Lightweight Predictive 3D Gaussian Splats.

Junli Cao, Vidit Goel, Chaoyang Wang, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scalable Ranked Preference Optimization for Text-To-Image Generation.

Shyamgopal Karthik, Huseyin Coskun, Zeynep Akata, Sergey Tulyakov, Jian Ren, Anil Kag

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device.

Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training.

Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SF-V: Single Forward Video Generation Model.

Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model.

Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation.

Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis.

Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TextCraftor: Your Text Encoder can be Image Quality Controller.

Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Efficient Edge Inference by Selective Query.

Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scaffolding a Student to Instill Knowledge.

Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Condensing CNNs with Partial Differential Equations.

Anil Kag, Venkatesh Saligrama

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Online Selective Classification with Limited Feedback.

Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Recurrent Neural Networks via Forward Propagation Through Time.

Anil Kag, Venkatesh Saligrama

Proceedings of the 38th International Conference on Machine Learning, 2021

Time Adaptive Recurrent Neural Network.

Anil Kag, Venkatesh Saligrama

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Selective Classification via One-Sided Prediction.

Aditya Gangrade, Anil Kag, Venkatesh Saligrama

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?

Anil Kag, Ziming Zhang, Venkatesh Saligrama

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?

Anil Kag, Ziming Zhang, Venkatesh Saligrama

CoRR, 2019

Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability.

Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama

CoRR, 2019

BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?

Suhas Jayaram Subramanya, Harsha Vardhan Simhadri, Srajan Garg, Anil Kag, Venkatesh Balasubramanian

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

2018

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising.

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation.

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018