Arjun Chandra

According to our database1, Arjun Chandra authored at least 32 papers between 2004 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Layerwise Dynamics for In-Context Classification in Transformers.
CoRR, April, 2026

Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models.
CoRR, December, 2025

BIG5-TPoT: Predicting BIG Five Personality Traits, Facets, and Items Through Targeted Preselection of Texts.
CoRR, November, 2025

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning.
CoRR, April, 2025

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2017
Efficient Parallel Methods for Deep Reinforcement Learning.
CoRR, 2017

2016
Self-awareness in Active Music Systems.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Self-awareness and Self-expression: Inspiration from Psychology.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Relationships to Other Concepts.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Reference Architecture for Self-aware and Self-expressive Computing Systems.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

2015
Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks.
ACM Trans. Auton. Adapt. Syst., 2015

Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering.
Computer, 2015

2014
A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

PheroMusic: Navigating a Musical Space for Active Music Experiences.
Proceedings of the Music Technology meets Philosophy, 2014

Decentralized harmonic synchronization in mobile music systems.
Proceedings of the IEEE 6th International Conference on Awareness Science and Technology, 2014

2013
The Challenge of Decentralised Synchronisation in Interactive Music Systems.
Proceedings of the 7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, 2013

Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks.
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

Can Diversity amongst Learners Improve Online Object Tracking?
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

An ant learning algorithm for gesture recognition with one-instance training.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Exposing market mechanism design trade-offs via multi-objective evolutionary search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
EPiCS: Engineering Proprioception in Computing Systems.
Proceedings of the 15th IEEE International Conference on Computational Science and Engineering, 2012

Market-Based Control in Interactive Music Environments.
Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012

2011
A methodical framework for engineering co-evolution for simulating socio-economic game playing agents.
PhD thesis, 2011

A Survey of Self-Awareness and Its Application in Computing Systems.
Proceedings of the Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems, 2011

2010
Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game.
Proceedings of the Applications of Evolutionary Computation, 2010

2006
Trade-Off Between Diversity and Accuracy in Ensemble Generation.
Proceedings of the Multi-Objective Machine Learning, 2006

Ensemble Learning Using Multi-Objective Evolutionary Algorithms.
J. Math. Model. Algorithms, 2006

Evolving hybrid ensembles of learning machines for better generalisation.
Neurocomputing, 2006

2005
Evolutionary framework for the construction of diverse hybrid ensembles.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
DIVACE: Diverse and Accurate Ensemble Learning Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004


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