Ayush Jain - RankMe

74 papers A* 8A 4B 8Misc 1Journal 41Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. EACL (Findings) Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2026	J	`jnl`	Structure Enables Effective Self-Localization of Errors in LLMs. CoRR Ankur Samanta, Akshayaa Magesh, Ayush Jain, Kavosh Asadi, Youliang Yu, Daniel Jiang, Boris Vidolov, Kaveh Hassani, Paul Sajda, Jalaj Bhandari, Yonathan Efroni
2025	J	`jnl`	AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview. CoRR Aditi Madhusudan Jain, Ayush Jain
2025	J	`jnl`	Explainable AI in Big Data Fraud Detection. CoRR Ayush Jain, Rahul Kulkarni, Siyi Lin
2025	A*	`conf`	From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs. ICML 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	J	`jnl`	Grounded Reinforcement Learning for Visual Reasoning. CoRR Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki
2025	J	`jnl`	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. CoRR Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025	J	`jnl`	Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment. CoRR Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani
2025	J	`jnl`	LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. CoRR Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Sriram Yenamandra, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax
2025	A*	`conf`	LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. ICML 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
2025	J	`jnl`	LatticeGraphNet: a two-scale graph neural operator for simulating lattice structures. Eng. Comput. Ayush Jain, Ehsan Haghighat, Sai Nelaturi
2025	J	`jnl`	LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature. CoRR Magdalena Lederbauer, Siddharth Betala, Xiyao Li, Ayush Jain, Amine Sehaba, Georgia Channing, Grégoire Germain, Anamaria Leonescu, Faris Flaifil, Alfonso Amayuelas, Alexandre Nozadze, Stefan P. Schmid, Mohd Zaki, Sudheesh Kumar Ethirajan, Elton Pan, Mathilde Franckel, Alexandre Duval, N. M. Anoop Krishnan, Samuel P. Gleason
2025	J	`jnl`	Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. CoRR Sergio Arnaud, Paul McVay, 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, Franziska Meier
2025	J	`jnl`	Train on Validation (ToV): Fast data selection with applications to fine-tuning. CoRR Ayush Jain, Andrea Montanari, Eren Sasoglu
2025	A*	`conf`	Unifying 2D and 3D Vision-Language Understanding. ICML Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki
2025	J	`jnl`	Unifying 2D and 3D Vision-Language Understanding. CoRR Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki
2025	J	`jnl`	Verification-Guided Context Optimization for Tool Calling via Hierarchical LLMs-as-Editors. CoRR Henger Li, Shuangjie You, Flavio Di Palo, Yiyue Qian, Ayush Jain
2025	J	`jnl`	polyGen: A Learning Framework for Atomic-level Polymer Structure Generation. CoRR Ayush Jain, Rampi Ramprasad
2024	—	`conf`	A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model. COMAD/CODS Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Komminist Weldemariam
2024	J	`jnl`	A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity. CoRR Ayush Jain, Rishi Gurnani, Arunkumar Rajan, H. Jerry Qi, Rampi Ramprasad
2024	A*	`conf`	Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. CVPR Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki
2024	J	`jnl`	Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki
2024	J	`jnl`	Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports. CoRR Mohamed Sobhi Jabal, Pranav I. Warman, Jikai Zhang, Kartikeye Gupta, Ayush Jain, Maciej A. Mazurowski, Walter F. Wiggins, Kirti Magudia, Evan Calabrese
2024	J	`jnl`	LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures. CoRR Ayush Jain, Ehsan Haghighat, Sai Nelaturi
2024	J	`jnl`	ODIN: A Single Model for 2D and 3D Perception. CoRR Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
2024	A*	`conf`	ODIN: A Single Model for 2D and 3D Segmentation. CVPR Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
2024	A*	`conf`	Scaling laws for learning with real and surrogate data. NeurIPS Ayush Jain, Andrea Montanari, Eren Sasoglu
2024	J	`jnl`	Scaling laws for learning with real and surrogate data. CoRR Ayush Jain, Andrea Montanari, Eren Sasoglu
2023	J	`jnl`	A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. Comput. Ind. Eng. Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy, Varun Ramamohan
2023	—	`conf`	Deep Reinforcement Agent for Efficient Instant Search. KDIR Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain
2023	—	`conf`	Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. Robotics: Science and Systems Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki
2023	J	`jnl`	Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement. CoRR Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki
2023	J	`jnl`	Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa
2023	J	`jnl`	Preparing Unprepared Students For Future Learning. CoRR Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
2023	J	`jnl`	Supply chain emission estimation using large language models. CoRR Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Kommy Weldemariam
2022	—	`conf`	Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. ECCV (36) Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki
2022	—	`conf`	COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. NAACL-HLT Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi
2022	J	`jnl`	COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. CoRR Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi
2022	J	`jnl`	Deep Reinforcement Agent for Efficient Instant Search. CoRR Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain
2022	A*	`conf`	Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
2022	—	`conf`	Towards Context-based Model Selection for Improved Crop Price Forecasting. COMAD/CODS Ayush Jain, Smit Marvaniya, Shantanu Godbole, Vitobha Munigala
2021	—	`conf`	A Tensor Decomposition Based Approach for Context-Aware Recommender Systems (CARS). IC3 Sparsh Shukla, Ishita Kalsi, Ayush Jain, Ankita Verma
2021	J	`jnl`	A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. CoRR Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy, Varun Ramamohan
2021	J	`jnl`	AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions. IEEE Netw. Ayush Jain, Rohit Ramaprasad, Pratik Narang, Murari Mandal, Vinay Chamola, F. Richard Yu, Mohsen Guizani
2021	J	`jnl`	Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. CoRR Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki
2021	J	`jnl`	Deep learning via LSTM models for COVID-19 infection forecasting in India. CoRR Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan
2021	—	`conf`	Does Social Pressure Drive Persuasion in Online Fora? EMNLP (1) Ayush Jain, Shashank Srivastava
2021	A	`conf`	Move to See Better: Self-Improving Embodied Object Detection. BMVC Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
2021	B	`conf`	Preparing Unprepared Students For Future Learning. CogSci Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
2021	J	`jnl`	Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. CoRR Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
2021	A	`conf`	Subset-of-data variational inference for deep Gaussian-processes regression. UAI Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
2021	A*	`conf`	Variance Penalized On-Policy and Off-Policy Actor-Critic. AAAI Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
2021	J	`jnl`	Variance Penalized On-Policy and Off-Policy Actor-Critic. CoRR Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
2020	B	`conf`	Identifying Collaborative Conversations using Latent Discourse Behaviors. SIGdial Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser
2020	J	`jnl`	Move to See Better: Towards Self-Supervised Amodal Object Detection. CoRR Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
2020	J	`jnl`	NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain. CoRR Ayush Jain, Meenachi Ganesamoorty
2020	—	`conf`	VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 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
2019	J	`jnl`	A deep learning system for differential diagnosis of skin diseases. CoRR Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Gregory S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz
2018	A	`conf`	Eligibility Traces for Options. AAMAS Ayush Jain, Doina Precup
2017	B	`conf`	On optimality and redundancy of side information version of SWLZ. ISIT Ayush Jain, Rakesh Kumar Bansal
2017	J	`jnl`	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. CoRR Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2017	J	`jnl`	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. Proc. VLDB Endow. Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2016	J	`jnl`	It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora. CoRR Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram
2016	B	`conf`	On point-wise redundancy rate of Bender-Wolf's variant of SWLZ algorithm. ITW Ayush Jain, Rakesh Kumar Bansal
2015	B	`conf`	Exponential rates of convergence for waiting times and generalized AEP. ITW Ayush Jain, Rakesh Kumar Bansal
2015	—	`conf`	Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. UKSim Danish Pruthi, Ayush Jain, Krishna Murthy Jatavallabhula, Ruppesh Nalwaya, Puneet Teja
2015	B	`conf`	On redundancy rate of FDLZ algorithm and its variants. ISIT Ayush Jain, Rakesh Kumar Bansal
2015	B	`conf`	Point-wise analysis of redundancy in SWLZ algorithm for φ-mixing sources. ITW Ayush Jain, Rakesh Kumar Bansal
2015	—	`conf`	Road congestion sensing via crowdsourcing and MapReduce. IPSN Ayush Jain, Saswat Raj, Harshit, Rajiv Misra, B. M. Baveja
2015	J	`jnl`	Robust acoustic echo cancellation using Kalman filter in double talk scenario. Speech Commun. Ayush Jain, Sanchit Goel, Karan Nathwani, Rajesh M. Hegde
2015	B	`conf`	Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. HCOMP Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom
2014	Misc	`conf`	Acoustic echo and noise cancellation using Kalman filter in a modified GSC framework. ACSSC Subhash C. Tanan, Karan Nathwani, Ayush Jain, Rajesh M. Hegde, Ruchi Rani, Abhijit Tripathy
2013	A	`conf`	Smartphone sensing for large data set collection of potholes. MobiSys Saswat Raj, Ayush Jain, Rajiv Misra