Ayush Jain

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following.
CoRR, 2024

Scaling laws for learning with real and surrogate data.
CoRR, 2024

LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures.
CoRR, 2024

ODIN: A Single Model for 2D and 3D Perception.
CoRR, 2024

A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network.
Comput. Ind. Eng., August, 2023

Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs.
CoRR, 2023

Supply chain emission estimation using large language models.
CoRR, 2023

Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement.
CoRR, 2023

Preparing Unprepared Students For Future Learning.
CoRR, 2023

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Deep Reinforcement Agent for Efficient Instant Search.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

2022
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.
Proceedings of the International Conference on Machine Learning, 2022

Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Context-based Model Selection for Improved Crop Price Forecasting.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions.
IEEE Netw., 2021

Deep learning via LSTM models for COVID-19 infection forecasting in India.
CoRR, 2021

Subset-of-data variational inference for deep Gaussian-processes regression.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Tensor Decomposition Based Approach for Context-Aware Recommender Systems (CARS).
Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

Does Social Pressure Drive Persuasion in Online Fora?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Move to See Better: Self-Improving Embodied Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Variance Penalized On-Policy and Off-Policy Actor-Critic.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Move to See Better: Towards Self-Supervised Amodal Object Detection.
CoRR, 2020

NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain.
CoRR, 2020

Identifying Collaborative Conversations using Latent Discourse Behaviors.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020


2019
A deep learning system for differential diagnosis of skin diseases.
CoRR, 2019

2018
Eligibility Traces for Options.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace.
Proc. VLDB Endow., 2017

On optimality and redundancy of side information version of SWLZ.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora.
CoRR, 2016

On point-wise redundancy rate of Bender-Wolf's variant of SWLZ algorithm.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

2015
Robust acoustic echo cancellation using Kalman filter in double talk scenario.
Speech Commun., 2015

Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises.
Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, 2015

Exponential rates of convergence for waiting times and generalized AEP.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Point-wise analysis of redundancy in SWLZ algorithm for φ-mixing sources.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

On redundancy rate of FDLZ algorithm and its variants.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Road congestion sensing via crowdsourcing and MapReduce.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2014
Acoustic echo and noise cancellation using Kalman filter in a modified GSC framework.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Smartphone sensing for large data set collection of potholes.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013


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