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Every paper Pith has read. Search by title, abstract, or pith.
554 papers in cs.NE · page 4
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Kernel memories limited by crosstalk instability not geometry
Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
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Ring topology on FPGAs runs cortical circuit faster than real time
NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
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Physical media could host trillion-parameter AI models
Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
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Dimensionality decides when modularity matters in continual learning
When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry
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One pretrained model unifies invasive BCI across species and tasks
UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces
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LLM relation reasoning guides expensive optimization without retraining
Relation Reasoning with LLMs in Expensive Optimization
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RCMAES variant of CMA-ES matches top DE algorithms on CEC suites
RCMAES: A Robust CMA-ES Variant for CEC2026 Competition
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Adaptive per-parameter decay enables selective forgetting
Learning to Forget: Continual Learning with Adaptive Weight Decay
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Neural assemblies learn causal directions with local rules
Causal Learning with Neural Assemblies
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Spatial mating destabilizes robot evolution unless selection is deterministic
Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms
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Adaptive growth matches oracle continual learning accuracy with fewer parameters
NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual Learning
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Spiking networks get smaller and noise-tolerant through evolution
Evolutionary feature selection for spiking neural network pattern classifiers
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Text integration lets big-encoder tiny-decoder ASR models match larger ones
Text-Utilization for Encoder-dominated Speech Recognition Models
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BDDs compress ACAS-Xu tables while preserving every decision
Compressing ACAS-Xu Lookup Tables with Binary Decision Diagrams
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Spiking networks cut edge sensor energy by 31x while matching accuracy
EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures
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Spiking networks detect graph anomalies with neuromorphic efficiency
Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
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Genetic programming evolves time series classifiers that beat benchmarks
EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
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Scalar measure and file method benchmark EMO stopping criteria
Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization
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Some problems thrive with 1000 individuals
The Effects of Population Size on the Performance of BEAGLE GPU-Based Genetic Programming Runs
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Evolutionary trees recover LLM training histories from weights
Analysis and Explainability of LLMs Via Evolutionary Methods
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Low-precision NAS recovers two-thirds of edge deployment accuracy loss
Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
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Strategy descriptions boost LLM evolutionary search
SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution
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Strategy-space layer lifts LLM evolutionary search by 20.6 percent
SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution
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Every primitive recursive function is iteration of one fixed ReLU network
Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
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MAEO ensemble matches or beats leading algorithms on benchmarks
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
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One non-affine function makes deep KANs universal on compacts
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks
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One non-affine edge function makes deep KANs universal
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks
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SNN complexity grows exponentially with depth and spike duration
Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
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Drop low-change layers to halve CNN training time
Learn&Drop: Fast Learning of CNNs based on Layer Dropping
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Tree architecture decides which formulas gradient descent recovers
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
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Spike-timing rule trains SNNs on FPGA without multiplies
A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
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Thermal inversions trap pollutants near ground in Spitsbergen models
Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen
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EEG structure guides diffusion to reconstruct images better
Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
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Hub routing replaces quadratic attention with linear O(nM) cost
HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models
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Balanced governance stabilizes human-AI mutualism in model
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies
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Linear-time B-splines speed up Kolmogorov-Arnold networks
LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks
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L-system encoding beats matrix encoding 2.7x in neural net evolution
L-System Genetic Encoding for Scalable Neural Network Evolution: A Comparison with Direct Matrix Encoding
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Task graph enables crossover transfer across thousands of optimization problems
Multi-Task Optimization over Networks of Tasks
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Oscillators forecast chaos best inside parametric resonance
Neuromorphic Computing Based on Parametrically-Driven Oscillators and Frequency Combs
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Rational GEM activations narrow GELU gap on ResNets and GPT-2
Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions
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Volatile memristors reach 95.89% MNIST accuracy in reservoir computing
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
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Novelty search generates diverse local optima networks for continuous landscapes
Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks
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Additive trust weights raise SSL accuracy on corrupted aerial images
Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning
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Co-design accelerates multimodal foundation models
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models
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Hybrid solver runs CO2 sequestration models over three times faster
CO$_2$ sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN)
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Detailed CA3 model produces multi-attractor memory dynamics
Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks
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The paper maps the S4D state space model to a ring of nonlinear oscillators where inputs…
An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling
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LPC networks reach near-minimal response times with modular designs
Response time of lateral predictive coding and benefits of modular structures
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Target-free critics cut QD samples by 10x on complex tasks
Distributional Value Estimation Without Target Networks for Robust Quality-Diversity