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Akarsh Kumar

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
2025 · Kumar, Akarsh, Clune, Jeff, et al. · arXiv (Cornell University) · 34
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Automating the Search for Artificial Life With Foundation Models
2025 · Akarsh Kumar, Chris Lu, et al. · Artificial Life · 29
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Training Language Models via Neural Cellular Automata
2026 · Lee, Dan, Han, Seungwook, et al. · arXiv (Cornell University) · 18
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Effective mutation rate adaptation through group elite selection
2022 · Akarsh Kumar, Bo Liu, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 15
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
2026 · Akarsh Kumar, Ryan Bahlous-Boldi, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 7
Pretraining Recurrent Networks without Recurrence
2026 · Kumar, Akarsh, Isola, Phillip · arXiv (Cornell University) · 6
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Vector Policy Optimization: Training for Diversity Improves Test-Time Search
2026 · Bahlous-Boldi, Ryan, Puri, Isha, et al. · arXiv (Cornell University) · 6
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Numerical Analysis of Heat transfer Enhancement in a double pipe heat exchanger with a holed twisted tape
2018 · Akarsh Kumar, Ujjawal Sureka, et al. · MATEC Web of Conferences · 4
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Grey Predictor Assisted Fuzzy and Fractional Order Fuzzy Control of a Moving Cart Inverted Pendulum
2017 · Amanvir Singh Sidana, Akarsh Kumar, et al. · Studies in computational intelligence · 4
Multilateralism and Quad
2022 · Akarsh Kumar, Diviniti Kothari, et al. · SSRN Electronic Journal · 2
Physically Plausible Pose Refinement using Fully Differentiable Forces
2021 · Kumar, Akarsh, Vaidya, Aditya R., et al. · arXiv (Cornell University) · 2
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In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
2026 · Sam Earle, Kai Arulkumaran, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 1
Impact of Artificial Intelligence on productivity of the employees
2020 · Sasank Devarakonda, Anudeep Aravala, et al. · 1
Age, Ethnicity and Emotion Recognition Using Mtcnn
2020 · Anuj Mishra, Amit Kumar Pandey, et al. · International Journal of Engineering Applied Sciences and Technology · 1
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Local Support Learning
2026 · Ben-Kish, Assaf, Kumar, Akarsh, et al. · arXiv (Cornell University)
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Proceedings of the Genetic and Evolutionary Computation Conference
2026 · Earle, Sam, Arulkumaran, Kai, et al.
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Standardized Design Principles and Emerging Opportunities for AI-Integrated CAD Systems
2026 · Taha Shaikh, Samarth Harel, et al. · SAE technical papers on CD-ROM/SAE technical paper series
Enhanced Traffic Prediction Using Spatial–Temporal Graph Neural Networks
2026 · Akarsh Kumar, Aishwarya Sinha, et al. · IEEE Access
Classification and Prediction of Stroke Disease Using Machine Learning Algorithms
2024 · Podutur Lahari, Akarsh Kumar, et al. · International Conference on Circuit, Power and Computing Technologies
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks
2023 · Ryan Sullivan, Akarsh Kumar, et al. · neural information processing systems
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Fuzzy controller with grey predictor for an inverted pendulum
2016 · Akarsh Kumar, Amanvir Singh Sidana, et al. · IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems
Performance enhancement of tunneling accelerometer using Cuckoo Search Algorithm
2016 · Akshit Kanda, Anchan Saxena, et al. · International Conference on Computing for Sustainable Global Development
倒立振り子のためのグレイ予測子を用いたファジィコントローラ【Powered by NICT】
2016 · Akarsh Kumar, Sidana Amanvir Singh, et al. · IEEE Conference Proceedings
Works count: 23
Citation count: 128
H-index: 6
I10-index: 4
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