- Towards chemistries in dynamical systems
2026/07/21 by Martin Biehl, Nathaniel Virgo · 1 voice
#cs.DM #cs.NE #nlin.PS
- Co-evolution of self-replication and function in a digital primordial soup
2026/07/10 by Francesco Cicala, Eyvind Niklasson, Ettore Randazzo +8 · 8 voices
#cs.NE
- The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators
2026/06/24 by Alex Iacob, Andrej Jovanović, William F. Shen +10 · 4 voices
Computer Science · #cs.LG #cs.AI #cs.MA #cs.NE
- Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks
2026/06/12 by Mo Shakiba, Rana Rokni, Mohammad Mohammadi +1 · 2 voices
#cs.NE #cs.AI #cs.LG #physics.data-an #q-bio.NC
- Sparsely gated tiny linear experts
2026/06/05 by Simon Schug · 1 voice
Computer Science · #cs.LG #cs.NE
- Agnosiophobia in a virtual agent: behavioral and dynamical architecture in Lenia
2026/05/29 by Jesse Cool, Benedikt Hartl, Michael Levin +1 · 2 voices · 1 citation
#nlin.CG #cs.NE #nlin.AO
- optimizeanything: Unified Text Optimization can Outperform Specialized Systems
2026/05/19 by Lakshya A Agrawal, Donghyun Lee, Shangyin Tan +11 · 1 voice
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #cs.NE #cs.SE
- The Causally Emergent Alignment Hypothesis: Causal Emergence Aligns with and Predicts Final Reward in Reinforcement Learning Agents
2026/05/07 by Federico Pigozzi, Michael Levin · 2 voices · 1 citation
#cs.NE
- LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment
2026/04/12 by Gregory Magarshak · 1 voice
#cs.LG #cs.AI #cs.IT #cs.NE
- Sequential KV Cache Compression via Probabilistic Language Tries: Beyond the Per-Vector Shannon Limit
2026/04/10 by Gregory Magarshak · 5 voices · 1 citation
#cs.LG #cs.AI #cs.IT #cs.NE
- The Geometry of Forgetting
2026/03/27 by Sambartha Ray Barman, Andrey Starenky, Sophia Bodnar +2 · 3 voices
Biochemistry, Genetics and Molecular Biology · Computer Science · #q-bio.NC #cs.AI #cs.IR #cs.NE
- Revisiting the Platonic Representation Hypothesis: An Aristotelian View
2026/02/16 by Fabian Gröger, Shuo Wen, Maria Brbić · 5 voices · 1 citation
#cs.LG #cs.AI #cs.CV #cs.NE
- A Physical Theory of Backpropagation: Exact Gradients from the Least-Action Principle
2026/02/02 by Antonino Emanuele Scurria · 1 voice
Computer Science · Physics and Astronomy · #cs.LG #cs.AI #cs.NE #physics.class-ph #physics.comp-ph
- Neural Particle Automata: Learning Self-Organizing Particle Dynamics
2026/01/22 by Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk +2 · 2 voices
Computer Science · #cs.NE #cs.CV
- Cognition spaces: natural, artificial, and hybrid
2026/01/19 by Ricard Solé, Luis F Seoane, Jordi Pla-Mauri +3 · 3 voices · 3 citations
#q-bio.NC #cs.AI #cs.HC #cs.NE
- InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics
2025/10/29 by Ann Huang, Huang, Ann, Mitchell Ostrow +9 · 1 voice · 3 citations
#q-bio.NC #cs.LG #cs.NE #q-bio.QM
- Tensor Logic: The Language of AI
2025/10/14 by Pedro Domingos, Domingos, Pedro · 15 voices · 1 citation
Computer Science · #Computability, Logic, AI Algorithms #cs.AI #cs.LG #cs.NE #cs.PL #stat.ML
- The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
2025/09/30 by Adrian Kosowski, Kosowski, Adrian, Przemysław Uznański +7 · 27 voices · 4 citations
#cs.NE #cs.AI #cs.LG #stat.ML
- Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
2025/09/29 by Xin Qiu, Yulu Gan, Qiu, Xin +13 · 6 voices · 3 citations
#cs.LG #cs.AI #cs.NE
- Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression
2025/09/27 by Peijun Zhu, Zhu, Peijun, Ning Yang +9 · 1 citation
#cs.CL #cs.AI #cs.DC #cs.LG #cs.NE
- Physics of Learning: A Lagrangian perspective to different learning paradigms
2025/09/25 by Siyuan Guo, Guo, Siyuan, Bernhard Schölkopf +1 · 1 voice
Computer Science · Psychology · #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE
- A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
2025/09/10 by Yisong Zhang, Zhang, Yisong, Ran Cheng +5 · 4 citations
#cs.NE #cs.AI
- Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
2025/07/23 by James B Aimone, James B. Aimone, Aimone, James B · 2 voices · 2 citations
Engineering · #Advanced Memory and Neural Computing #cs.AR #cs.DC #cs.NE
- Scaling can lead to compositional generalization
2025/07/09 by Florian Redhardt, Redhardt, Florian, Yassir Akram +3 · 1 voice · 2 citations
Computer Science · Engineering · Materials Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE
- Large Language Models and Emergence: A Complex Systems Perspective
2025/06/10 by David C. Krakauer, Krakauer, David C., John W. Krakauer +3 · 13 voices · 4 citations
#cs.CL #cs.AI #cs.LG #cs.NE
- Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
2025/06/03 by Jack Cook, Cook, Jack, Danyal Akarca +5 · 2 voices · 2 citations
#q-bio.NC #cs.NE
- EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration
2025/06/01 by Beichen Huang, Huang, Beichen, Ran Cheng +3 · 1 voice
Computer Science · #Advanced Software Engineering Methodologies #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Model-Driven Software Engineering Techniques #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Parallel #Software Engineering Research #and Cluster Computing (cs.DC) #cs.AI #cs.DC #cs.MA #cs.NE
- μPC: Scaling Predictive Coding to 100+ Layer Networks
2025/05/19 by Francesco Innocenti, Innocenti, Francesco, El Mehdi Achour +3 · 3 voices · 1 citation
#cs.LG #cs.AI #cs.NE
- Panda: A pretrained forecast model for chaotic dynamics
2025/05/19 by Jeffrey Lai, Anthony Bao, Lai, Jeffrey +3 · 3 voices · 5 citations
#cs.LG #cs.NE #nlin.CD #stat.ML
- Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
2025/05/16 by Akarsh Kumar, Kumar, Akarsh, Jeff Clune +5 · 14 voices · 8 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques #cs.CV #cs.LG #cs.NE
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