Ayush Jain
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
23
Active years
2013–2026
Best venue rank
A*
Where they publish
- A*ICML10 papers
- BISIT3 papers
- BITW3 papers
- NationalVTS2 papers
- A*ICLR2 papers
- NationalCOMAD2 papers
- A*CVPR2 papers
- A*COLT2 papers
- A*ECCV2 papers
- A*ACL1 paper
- AEACL1 paper
- CIC3K1 paper
- ANAACL1 paper
- A*AAAI1 paper
- ABMVC1 paper
- BCogSci1 paper
- A*EMNLP1 paper
- CISCAS1 paper
- AUAI1 paper
- BSIGdial1 paper
- BHCOMP1 paper
- NationalACSSC1 paper
- AMobisys1 paper
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DeepResearch Retail: Benchmarking Tool-Augmented Deep Research in the E-Commerce Domain. | Rafael Ferreira, Flavio Di Palo, Huilin Lu, Ayush Jain, Harsha Aduri |
| 2026 | EACL | Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. | Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni |
| 2026 | VTS | Accelerating Analog Test through Firmware-Hardware Driven Parallelism. | Krishna Pramod Madabhushi, Ayush Jain, Logan Pukett, William Jahner, Eslam Hag |
| 2025 | ICLR | QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing. | Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim |
| 2025 | ICML | From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs. | Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax |
| 2025 | ICML | Unifying 2D and 3D Vision-Language Understanding. | Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki |
| 2025 | ICML | LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. | Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran |
| 2024 | COMAD | A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model. | Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Komminist Weldemariam |
| 2024 | CVPR | ODIN: A Single Model for 2D and 3D Segmentation. | Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki |
| 2024 | CVPR | Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. | Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki |
| 2023 | IC3K | Deep Reinforcement Agent for Efficient Instant Search. | Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain |
| 2023 | ICML | Efficient List-Decodable Regression using Batches. | Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen |
| 2022 | COLT | Robust Estimation for Random Graphs. | Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang |
| 2022 | COLT | The Price of Tolerance in Distribution Testing. | Clment L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li |
| 2022 | COMAD | Towards Context-based Model Selection for Improved Crop Price Forecasting. | Ayush Jain, Smit Marvaniya, Shantanu Godbole, Vitobha Munigala |
| 2022 | ECCV | Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. | Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki |
| 2022 | ICLR | Know Your Action Set: Learning Action Relations for Reinforcement Learning. | Ayush Jain, Norio Kosaka, Kyung-Min Kim, Joseph J. Lim |
| 2022 | ICML | TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm. | Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar |
| 2022 | ICML | Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. | Mathieu Laurire, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Prolat, Romuald Elie, Olivier Pietquin, Matthieu Geist |
| 2022 | NAACL | COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. | Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi |
| 2021 | AAAI | Variance Penalized On-Policy and Off-Policy Actor-Critic. | Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup |
| 2021 | BMVC | Move to See Better: Self-Improving Embodied Object Detection. | Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki |
| 2021 | CogSci | Preparing Unprepared Students For Future Learning. | Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi |
| 2021 | EMNLP | Does Social Pressure Drive Persuasion in Online Fora? | Ayush Jain, Shashank Srivastava |
| 2021 | ICML | Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free. | Ayush Jain, Alon Orlitsky |
| 2021 | ISCAS | Survey of Recent Developments for Hardware Trojan Detection. | Ayush Jain, Ziqi Zhou, Ujjwal Guin |
| 2021 | UAI | Subset-of-data variational inference for deep Gaussian-processes regression. | Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan |
| 2020 | ECCV | VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. | Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu |
| 2020 | ICML | Optimal Robust Learning of Discrete Distributions from Batches. | Ayush Jain, Alon Orlitsky |
| 2020 | ICML | Generalization to New Actions in Reinforcement Learning. | Ayush Jain, Andrew Szot, Joseph J. Lim |
| 2020 | VTS | Special Session: Novel Attacks on Logic-Locking. | Ayush Jain, Ujjwal Guin, M. Tanjidur Rahman, Navid Asadizanjani, Danielle Duvalsaint, R. D. Shawn Blanton |
| 2020 | SIGdial | Identifying Collaborative Conversations using Latent Discourse Behaviors. | Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser |
| 2018 | ICML | The Limits of Maxing, Ranking, and Preference Learning. | Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar |
| 2018 | ISIT | Effective Memory Shrinkage in Estimation. | Ayush Jain, Himanshu Tyagi |
| 2017 | ISIT | On optimality and redundancy of side information version of SWLZ. | Ayush Jain, Rakesh Kumar Bansal |
| 2016 | ITW | On point-wise redundancy rate of Bender-Wolf's variant of SWLZ algorithm. | Ayush Jain, Rakesh Kumar Bansal |
| 2015 | HCOMP | Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. | Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom |
| 2015 | ISIT | On redundancy rate of FDLZ algorithm and its variants. | Ayush Jain, Rakesh Kumar Bansal |
| 2015 | ITW | Point-wise analysis of redundancy in SWLZ algorithm for φ-mixing sources. | Ayush Jain, Rakesh Kumar Bansal |
| 2015 | ITW | Exponential rates of convergence for waiting times and generalized AEP. | Ayush Jain, Rakesh Kumar Bansal |
| 2014 | ACSSC | Acoustic echo and noise cancellation using Kalman filter in a modified GSC framework. | Subhash C. Tanan, Karan Nathwani, Ayush Jain, Rajesh M. Hegde, Ruchi Rani, Abhijit Tripathy |
| 2013 | Mobisys | Smartphone sensing for large data set collection of potholes. | Saswat Raj, Ayush Jain, Rajiv Misra |