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Machine Learning

Toy experiment: frozen Pythia-70M can use a forward-derived fast memory for contextual one-shot symbolic recall [D]

Toy Experiment: Frozen Pythia-70M Using Forward-Derived Fast Memory for Contextual One-Shot Recall I have been running a small research/t...

Reddit - Machine Learning · 1 min ·
Llms

Moving Past "LLM Vibes" toward Structural Enforcement in AI Agents

We need to address the structural failure currently happening in the AI agent space: too many people are building a beautiful "pedestal" ...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

I am paying 50$ who help start AI model journey?

I am paying 50$ who help start AI model journey? I have basic face pics around 8-10. Now i need video contents with the same character. P...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2604.04828] Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
Machine Learning

[2604.04828] Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer

Abstract page for arXiv paper 2604.04828: Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circui...

arXiv - Machine Learning · 4 min ·
[2604.04802] Partially deterministic sampling for compressed sensing with denoising guarantees
Machine Learning

[2604.04802] Partially deterministic sampling for compressed sensing with denoising guarantees

Abstract page for arXiv paper 2604.04802: Partially deterministic sampling for compressed sensing with denoising guarantees

arXiv - Machine Learning · 3 min ·
[2604.04790] HUKUKBERT: Domain-Specific Language Model for Turkish Law
Llms

[2604.04790] HUKUKBERT: Domain-Specific Language Model for Turkish Law

Abstract page for arXiv paper 2604.04790: HUKUKBERT: Domain-Specific Language Model for Turkish Law

arXiv - Machine Learning · 4 min ·
[2604.04757] Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange
Machine Learning

[2604.04757] Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange

Abstract page for arXiv paper 2604.04757: Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange

arXiv - AI · 4 min ·
[2604.04738] Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates
Machine Learning

[2604.04738] Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates

Abstract page for arXiv paper 2604.04738: Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and S...

arXiv - Machine Learning · 4 min ·
[2604.04726] A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models
Machine Learning

[2604.04726] A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models

Abstract page for arXiv paper 2604.04726: A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models

arXiv - Machine Learning · 3 min ·
[2604.04677] Towards protein folding pathways by reconstructing protein residue networks with a policy-driven model
Machine Learning

[2604.04677] Towards protein folding pathways by reconstructing protein residue networks with a policy-driven model

Abstract page for arXiv paper 2604.04677: Towards protein folding pathways by reconstructing protein residue networks with a policy-drive...

arXiv - Machine Learning · 3 min ·
[2604.04673] Minimaxity and Admissibility of Bayesian Neural Networks
Machine Learning

[2604.04673] Minimaxity and Admissibility of Bayesian Neural Networks

Abstract page for arXiv paper 2604.04673: Minimaxity and Admissibility of Bayesian Neural Networks

arXiv - Machine Learning · 3 min ·
[2604.04667] ZeD-MAP: Bundle Adjustment Guided Zero-Shot Depth Maps for Real-Time Aerial Imaging
Machine Learning

[2604.04667] ZeD-MAP: Bundle Adjustment Guided Zero-Shot Depth Maps for Real-Time Aerial Imaging

Abstract page for arXiv paper 2604.04667: ZeD-MAP: Bundle Adjustment Guided Zero-Shot Depth Maps for Real-Time Aerial Imaging

arXiv - Machine Learning · 4 min ·
[2604.04636] Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks
Machine Learning

[2604.04636] Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks

Abstract page for arXiv paper 2604.04636: Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks

arXiv - Machine Learning · 3 min ·
[2604.04599] LP-GEMM: Integrating Layout Propagation into GEMM Operations
Machine Learning

[2604.04599] LP-GEMM: Integrating Layout Propagation into GEMM Operations

Abstract page for arXiv paper 2604.04599: LP-GEMM: Integrating Layout Propagation into GEMM Operations

arXiv - Machine Learning · 3 min ·
[2604.04589] Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access
Machine Learning

[2604.04589] Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access

Abstract page for arXiv paper 2604.04589: Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access

arXiv - AI · 3 min ·
[2604.04588] Noisy Nonreciprocal Pairwise Comparisons: Scale Variation, Noise Calibration, and Admissible Ranking Regions
Machine Learning

[2604.04588] Noisy Nonreciprocal Pairwise Comparisons: Scale Variation, Noise Calibration, and Admissible Ranking Regions

Abstract page for arXiv paper 2604.04588: Noisy Nonreciprocal Pairwise Comparisons: Scale Variation, Noise Calibration, and Admissible Ra...

arXiv - Machine Learning · 4 min ·
[2604.04573] SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles
Machine Learning

[2604.04573] SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles

Abstract page for arXiv paper 2604.04573: SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous...

arXiv - Machine Learning · 4 min ·
[2604.04567] Generative Modeling under Non-Monotonic MAR Missingness via Approximate Wasserstein Gradient Flows
Machine Learning

[2604.04567] Generative Modeling under Non-Monotonic MAR Missingness via Approximate Wasserstein Gradient Flows

Abstract page for arXiv paper 2604.04567: Generative Modeling under Non-Monotonic MAR Missingness via Approximate Wasserstein Gradient Flows

arXiv - Machine Learning · 4 min ·
[2604.04530] SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
Machine Learning

[2604.04530] SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

Abstract page for arXiv paper 2604.04530: SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User I...

arXiv - Machine Learning · 4 min ·
[2604.04453] Generative modeling of granular flow on inclined planes using conditional flow matching
Machine Learning

[2604.04453] Generative modeling of granular flow on inclined planes using conditional flow matching

Abstract page for arXiv paper 2604.04453: Generative modeling of granular flow on inclined planes using conditional flow matching

arXiv - Machine Learning · 4 min ·
[2604.04488] A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models
Llms

[2604.04488] A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models

Abstract page for arXiv paper 2604.04488: A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Languag...

arXiv - Machine Learning · 4 min ·
[2604.04414] Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
Machine Learning

[2604.04414] Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks

Abstract page for arXiv paper 2604.04414: Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks

arXiv - Machine Learning · 4 min ·
[2604.04401] ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
Machine Learning

[2604.04401] ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller

Abstract page for arXiv paper 2604.04401: ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller

arXiv - Machine Learning · 3 min ·
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