Akash Srivastava
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
4
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models. | Xiaoxiao He, Quan Dao, Ligong Han, Song Wen, Minhao Bai, Di Liu, Han Zhang, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Martin Renqiang Min, Kang Li, Faez Ahmed, Akash Srivastava, Hongdong Li, Junzhou Huang, Dimitris N. Metaxas |
| 2025 | EMNLP | Hopscotch: Discovering and Skipping Redundancies in Language Models. | Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang, Ligong Han, Akash Srivastava |
| 2025 | ICLR | Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. | Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava |
| 2025 | WACV | SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. | Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris N. Metaxas |
| 2024 | ICLR | Curiosity-driven Red-teaming for Large Language Models. | Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal |
| 2024 | ICLR | A Probabilistic Framework for Modular Continual Learning. | Lazar Valkov, Akash Srivastava, Swarat Chaudhuri, Charles Sutton |
| 2024 | WACV | ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. | Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas |
| 2023 | ICML | Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. | Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava |
| 2022 | ICLR | Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. | Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic |
| 2020 | ICLR | Generative Ratio Matching Networks. | Akash Srivastava, Kai Xu, Michael U. Gutmann, Charles Sutton |
| 2019 | ICML | Variational Russian Roulette for Deep Bayesian Nonparametrics. | Kai Xu, Akash Srivastava, Charles Sutton |
| 2018 | ICML | Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. | Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava |
| 2017 | ICLR | Autoencoding Variational Inference For Topic Models. | Akash Srivastava, Charles Sutton |