Yogesh Balaji - RankMe

46 papers A* 15A 2Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DuoGen: Towards General Purpose Interleaved Multimodal Generation. CoRR Min Shi, Xiaohui Zeng, Jiannan Huang, Yin Cui, Francesco Ferroni, Jialuo Li, Shubham Pachori, Zhaoshuo Li, Yogesh Balaji, Haoxiang Wang, Tsung-Yi Lin, Xiao Fu, Yue Zhao, Chieh-Yun Chen, Ming-Yu Liu, Humphrey Shi
2025	A*	`conf`	A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. CVPR Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
2025	J	`jnl`	A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. CoRR Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
2025	J	`jnl`	Cosmos World Foundation Model Platform for Physical AI. CoRR Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025	J	`jnl`	InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression. CoRR Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu
2025	J	`jnl`	Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency. CoRR Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025	A*	`conf`	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. ICML Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2024	J	`jnl`	Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang
2024	A*	`conf`	JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. CVPR Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
2024	J	`jnl`	JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. CoRR Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
2024	J	`jnl`	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. CoRR Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2023	A*	`conf`	Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2023	J	`jnl`	Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2022	A*	`conf`	A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
2022	J	`jnl`	A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
2022	J	`jnl`	eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
2021	—	`—`	Robust Learning under Distributional Shifts. Yogesh Balaji
2021	A*	`conf`	Understanding Over-parameterization in Generative Adversarial Networks. ICLR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	J	`jnl`	Understanding Overparameterization in Generative Adversarial Networks. CoRR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	A	`conf`	Unsupervised anomaly detection with adversarial mirrored autoencoders. UAI Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
2021	A*	`conf`	Winning Lottery Tickets in Deep Generative Models. AAAI Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
2020	A	`conf`	Adversarial Robustness of Flow-Based Generative Models. AISTATS Phillip Pope, Yogesh Balaji, Soheil Feizi
2020	J	`jnl`	Curriculum Manager for Source Selection in Multi-Source Domain Adaptation. CoRR Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
2020	—	`conf`	Curriculum Manager for Source Selection in Multi-source Domain Adaptation. ECCV (14) Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
2020	—	`conf`	Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. ECCV (9) Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
2020	J	`jnl`	Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. CoRR Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
2020	J	`jnl`	Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. CoRR Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
2020	A*	`conf`	Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS Yogesh Balaji, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. CoRR Yogesh Balaji, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	The Effectiveness of Memory Replay in Large Scale Continual Learning. CoRR Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
2020	J	`jnl`	Winning Lottery Tickets in Deep Generative Models. CoRR Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
2019	J	`jnl`	Adversarial Robustness of Flow-Based Generative Models. CoRR Phillip Pope, Yogesh Balaji, Soheil Feizi
2019	A*	`conf`	Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. IJCAI Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf
2019	A*	`conf`	Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
2019	J	`jnl`	Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets. CoRR Yogesh Balaji, Tom Goldstein, Judy Hoffman
2019	J	`jnl`	Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference. CoRR Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa
2019	J	`jnl`	Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. CoRR Yogesh Balaji, Rama Chellappa, Soheil Feizi
2019	A*	`conf`	Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. ICCV Yogesh Balaji, Rama Chellappa, Soheil Feizi
2018	J	`jnl`	Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
2018	A*	`conf`	Generate to Adapt: Aligning Domains Using Generative Adversarial Networks. CVPR Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa
2018	A*	`conf`	Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. CVPR Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa
2018	A*	`conf`	MetaReg: Towards Domain Generalization using Meta-Regularization. NeurIPS Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa
2017	J	`jnl`	Generate To Adapt: Aligning Domains using Generative Adversarial Networks. CoRR Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa
2017	A*	`conf`	Unrolling the Shutter: CNN to Correct Motion Distortions. CVPR Vijay Rengarajan, Yogesh Balaji, A. N. Rajagopalan
2017	J	`jnl`	Unsupervised Domain Adaptation for Semantic Segmentation with GANs. CoRR Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa
2016	—	`conf`	Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation. ECCV (7) Abhijith Punnappurath, Yogesh Balaji, Mahesh Mohan M. R., Ambasamudram Narayanan Rajagopalan