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Claude Opus 4.6 API at 40% below Anthropic pricing – try free before you pay anything

Hey everyone I've set up a self-hosted API gateway using [New-API](QuantumNous/new-ap) to manage and distribute Claude Opus 4.6 access ac...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] ICML reviewer making up false claim in acknowledgement, what to do?

In a rebuttal acknowledgement we received, the reviewer made up a claim that our method performs worse than baselines with some hyperpara...

Reddit - Machine Learning · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·

All Content

[2603.24143] Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
Machine Learning

[2603.24143] Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations

Abstract page for arXiv paper 2603.24143: Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations

arXiv - Machine Learning · 4 min ·
[2603.24138] Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models
Machine Learning

[2603.24138] Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models

Abstract page for arXiv paper 2603.24138: Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surroga...

arXiv - Machine Learning · 3 min ·
[2603.24131] Reservoir-Based Graph Convolutional Networks
Machine Learning

[2603.24131] Reservoir-Based Graph Convolutional Networks

Abstract page for arXiv paper 2603.24131: Reservoir-Based Graph Convolutional Networks

arXiv - Machine Learning · 4 min ·
[2603.24128] On Gossip Algorithms for Machine Learning with Pairwise Objectives
Machine Learning

[2603.24128] On Gossip Algorithms for Machine Learning with Pairwise Objectives

Abstract page for arXiv paper 2603.24128: On Gossip Algorithms for Machine Learning with Pairwise Objectives

arXiv - Machine Learning · 4 min ·
[2603.24126] Likelihood hacking in probabilistic program synthesis
Llms

[2603.24126] Likelihood hacking in probabilistic program synthesis

Abstract page for arXiv paper 2603.24126: Likelihood hacking in probabilistic program synthesis

arXiv - Machine Learning · 3 min ·
[2603.24113] Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks
Machine Learning

[2603.24113] Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks

Abstract page for arXiv paper 2603.24113: Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.24124] The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation
Llms

[2603.24124] The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation

Abstract page for arXiv paper 2603.24124: The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty...

arXiv - AI · 4 min ·
[2603.24105] Causality-Driven Disentangled Representation Learning in Multiplex Graphs
Machine Learning

[2603.24105] Causality-Driven Disentangled Representation Learning in Multiplex Graphs

Abstract page for arXiv paper 2603.24105: Causality-Driven Disentangled Representation Learning in Multiplex Graphs

arXiv - Machine Learning · 3 min ·
[2603.24093] Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
Llms

[2603.24093] Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization

Abstract page for arXiv paper 2603.24093: Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization

arXiv - Machine Learning · 4 min ·
[2603.24076] The impact of sensor placement on graph-neural-network-based leakage detection
Machine Learning

[2603.24076] The impact of sensor placement on graph-neural-network-based leakage detection

Abstract page for arXiv paper 2603.24076: The impact of sensor placement on graph-neural-network-based leakage detection

arXiv - Machine Learning · 3 min ·
[2603.24044] MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
Machine Learning

[2603.24044] MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning

Abstract page for arXiv paper 2603.24044: MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning

arXiv - Machine Learning · 4 min ·
[2603.24002] Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
Machine Learning

[2603.24002] Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs

Abstract page for arXiv paper 2603.24002: Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs

arXiv - Machine Learning · 3 min ·
[2603.23994] Understanding the Challenges in Iterative Generative Optimization with LLMs
Llms

[2603.23994] Understanding the Challenges in Iterative Generative Optimization with LLMs

Abstract page for arXiv paper 2603.23994: Understanding the Challenges in Iterative Generative Optimization with LLMs

arXiv - Machine Learning · 4 min ·
[2603.23987] Can we generate portable representations for clinical time series data using LLMs?
Llms

[2603.23987] Can we generate portable representations for clinical time series data using LLMs?

Abstract page for arXiv paper 2603.23987: Can we generate portable representations for clinical time series data using LLMs?

arXiv - Machine Learning · 4 min ·
[2603.23985] Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
Llms

[2603.23985] Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score

Abstract page for arXiv paper 2603.23985: Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score

arXiv - Machine Learning · 3 min ·
[2603.23984] Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
Machine Learning

[2603.23984] Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing

Abstract page for arXiv paper 2603.23984: Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for ...

arXiv - Machine Learning · 4 min ·
[2603.23977] Kirchhoff-Inspired Neural Networks for Evolving High-Order Perception
Machine Learning

[2603.23977] Kirchhoff-Inspired Neural Networks for Evolving High-Order Perception

Abstract page for arXiv paper 2603.23977: Kirchhoff-Inspired Neural Networks for Evolving High-Order Perception

arXiv - Machine Learning · 3 min ·
[2603.23961] GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference
Machine Learning

[2603.23961] GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference

Abstract page for arXiv paper 2603.23961: GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference

arXiv - Machine Learning · 4 min ·
[2603.23878] The Luna Bound Propagator for Formal Analysis of Neural Networks
Machine Learning

[2603.23878] The Luna Bound Propagator for Formal Analysis of Neural Networks

Abstract page for arXiv paper 2603.23878: The Luna Bound Propagator for Formal Analysis of Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.23871] HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
Llms

[2603.23871] HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation

Abstract page for arXiv paper 2603.23871: HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation

arXiv - Machine Learning · 3 min ·
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