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Every paper Pith has read. Search by title, abstract, or pith.
304 papers in cs.NE · page 1
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Taxonomy sorts SNN training rules and adds shared testbed
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
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Neural solvers reach energy parity after 158000 deployments
An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
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Evolutionary merge beats trained models on reasoning benchmarks
Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning
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Steering EEG model features exposes three encoding regimes
Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders
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The paper reconstructs a zebrafish retinotectal circuit graph and uses ablation in a…
Dual-axis attribution of zebrafish tectal microcircuits for energy-efficient and robust neurocomputing
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Neural automata self-heal textures and graft new ones without retraining
Texture Regenerating and Grafting Using Genome-Driven Neural Cellular Automata
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Layered weights isolate first-front ascent in multiobjective sets
Nonsmooth Set-Gradient Ascent to the Pareto Front via Layered Hypervolume and Magnitude Indicators
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Algorithm evolves mixed-type genes separately then assembles phenotypes
The Geno-Synthetic Algorithm: Type-Factored Coevolutionary Optimization for Heterogeneous Genotypes and Assembled Phenotypes
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Trust signal guides sparse search in large-scale multi-objective problems
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
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Biological neurons outperform AI agents in simulated navigation
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
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Spiking neurons split frequency choice from timing adjustment
FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
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LLM agent with RDKit tools beats drug design baselines by over 10 percent
ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
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LLM agent with chemical tools finds drug candidates with 10% better affinity
ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
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Attractor models beat larger transformers on language and puzzles
Solve the Loop: Attractor Models for Language and Reasoning
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Quaternion DE converges faster than real DE on BBOB benchmarks
A Family of Quaternion-Valued Differential Evolution Algorithms for Numerical Function Optimization
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Dependency-respecting merge search halves space and adds 6.7% accuracy
Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging
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Graph queries for optimization reveal hidden data flaws
Graph-Grounded Optimization: Rao-Family Metaheuristics, Classical OR, and SLM-Driven Formulation over Knowledge Graphs
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Knowledge graphs source optimization problems via queries
Graph-Grounded Optimization: Rao-Family Metaheuristics, Classical OR, and SLM-Driven Formulation over Knowledge Graphs
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Complex neurons beat simple ones under fixed parameters
Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
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Tunable conductances let spiking nets train directly and spike less
Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing
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Contrastive video training yields MT-like direction maps
Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization
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Local windows replace global attention in spiking transformers
Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention
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ECRAM transient dynamics enable short-term plasticity in neuromorphic circuits
Leveraging Non-Equilibrium ECRAM Dynamics for Short-Term Plasticity in Neuromorphic Circuits
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Crossover speeds up NSGA-III on many-objective benchmarks
On the Impact of Crossover in Many-Objective Optimization: A Runtime Analysis of NSGA-III
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Router rewrite alone accounts for all gains in evolutionary MoLoRA
Decomposing Evolutionary Mixture-of-LoRA Architectures: The Routing Lever, the Lifecycle Penalty, and a Substrate-Conditional Boundary
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SRC neurons classify MNIST on FPGA at 0.45 mJ per digit
Energy-Efficient Implementation of Spiking Recurrent Cells on FPGA
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FPGA SNN with SRC cells hits 96% MNIST accuracy at 0.45 mJ per digit
Energy-Efficient Implementation of Spiking Recurrent Cells on FPGA
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Equilibrium in NeuroAI stabilizes neural
A Theory of Multilevel Interactive Equilibrium in NeuroAI
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ReLU geometry yields exact causal explanations without distillation
Causal Explanations from the Geometric Properties of ReLU Neural Networks
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Meta-policy guides search regions in constrained multi-objective optimization
Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
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Sparse coding and timing preserve knowledge across context switches
Joint sparse coding and temporal dynamics support context reconfiguration
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Humans Compress Future Tasks When Building Abstractions
Prospective Compression in Human Abstraction Learning
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LIF bandwidth matching boosts SNN accuracy on mmWave sensing
Frequency Matching in Spiking Neural Networks for mmWave Sensing
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Evolving prompt embeddings raises LLM solution coverage and quality-diversity scores
Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
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Evolutionary optimization yields more diverse LLM alignments
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
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Spike encoders recast as causal wavelets with error bounds
Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
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Search architecture upgrades beat bigger LLMs for evolutionary tasks
LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
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AutoSINDy recovers true dynamics in 92.8 percent of noisy trials
Discovery of Nonlinear Dynamics with Automated Basis Function Generation
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RDEx-CASK cuts time-to-target on CEC constrained problems
RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP
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Neuromorphic training cuts quadruped controller memory use by 4.3 times
Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain
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Sparse FFN routing shifts work into attention layers
Sparsity Moves Computation: How FFN Architecture Reshapes Attention in Small Transformers
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Co-evolving agent ensembles surpass static coding limits
Evolutionary Ensemble of Agents
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Self-revising agent ensemble breaks static code limits
Evolutionary Ensemble of Agents
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LLM-designed LSHADE records 510 wins on GNBG benchmark
ARES-LSHADE: Autoresearch-Enhanced LSHADE with Memetic Polish for the GNBG Benchmark
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Vortex-based optimizer tops 34 of 58 CEC 2017 cases
Drain-Vortex Optimization: A Population-Based Metaheuristic Inspired by Multi-Drain Free-Vortex Flow
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4B agent matches larger models at heuristic design
AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design
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Finite point evaluations reconstruct convex Lipschitz functionals
Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples
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Parameter reconstruction trains spiking networks to global optimality
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction
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Duffing ring breaks symmetry to read input shape
Broken-symmetry shape discrimination on a driven Duffing ring
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LLM multi-agent system recovers ODEs more accurately
Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation