…View arXiv page View PDF GitHub 4 Add to collection Community BrainSurgery is a tool for reliably inspecting and modifying large neural network checkpoints without fragile one-off scripts. It uses declarative…
…Built on this foundation, AnalogRetriever encodes schematics and descriptions with a vision-language model and netlists with a port-aware relational graph convolutional network , mapping all three modalities into a shared embedding…
Papers arxiv:2604.23426 Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy Published on Apr 25 Submitted by Emre ARDIÇ on Apr 30 Authors…
…that transfers hierarchical decision logic into neural networks, matching teacher performance within 2\% on many benchmarks. View arXiv page View PDF Add to collection Community A unification of decision trees and diffusion…
…Community GQKAE introduces a generative quantum-inspired Kolmogorov–Arnold eigensolver for quantum chemistry, replacing the parameter-heavy FFN layers in GPT-style GQE with compact hybrid quantum-inspired Kolmogorov-Arnold network (HQKAN…
…Noam Issachar , , Abstract Complexity-Balanced Splitting (CBS) allocates generative capacity across specialized sub-networks by partitioning the diffusion timeline based on local complexity measures, improving synthesis quality without increasing inference cost. Generated…
…We introduce FlowBender, a closed-loop framework that treats this error as a first-class input, training the network to learn a correction policy conditioned on inference-time feedback. At each step…
…Christen Millerdurai , , , , , Abstract EgoForce is a monocular 3D hand reconstruction framework that uses a unified network to recover robust, absolute hand pose and position across different camera models through differentiable forearm representation…
…We report surprising findings: (a) Retraining the model using the same recipe with a different seed moves FID 3.2x more (in Inception feature space ) than redrawing samples from a fixed network…
…View arXiv page View PDF GitHub 2 Add to collection Community Pipeline parallelism is essential for training large neural networks, but existing schedules trade off throughput, memory, and optimization consistency. Synchronous pipelines…