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Machine Learning

A frozen transformer learned that wombats produce cube shaped droppings and still knows after cold reload [R]

A transformer with a separate, isolated memory buffer. Backbone frozen. 300 gradient steps on the memory weights only: Query Prediction p...

Reddit - Machine Learning · 1 min ·
Trump officials may be encouraging banks to test Anthropic’s Mythos model | TechCrunch
Machine Learning

Trump officials may be encouraging banks to test Anthropic’s Mythos model | TechCrunch

The report is particularly surprising since the Department of Defense recently declared Anthropic a supply-chain risk.

TechCrunch - AI · 3 min ·
Machine Learning

Palantir CEO says AI 'will destroy' humanities jobs, but there will be 'more than enough jobs' for people with vocational training

submitted by /u/esporx [link] [comments]

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.24500] Project and Generate: Divergence-Free Neural Operators for Incompressible Flows
Machine Learning

[2603.24500] Project and Generate: Divergence-Free Neural Operators for Incompressible Flows

Abstract page for arXiv paper 2603.24500: Project and Generate: Divergence-Free Neural Operators for Incompressible Flows

arXiv - Machine Learning · 3 min ·
[2603.24475] Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
Machine Learning

[2603.24475] Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability

Abstract page for arXiv paper 2603.24475: Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufactur...

arXiv - Machine Learning · 3 min ·
[2603.24431] Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
Machine Learning

[2603.24431] Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models

Abstract page for arXiv paper 2603.24431: Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series v...

arXiv - Machine Learning · 4 min ·
[2603.24428] Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching
Machine Learning

[2603.24428] Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching

Abstract page for arXiv paper 2603.24428: Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Ma...

arXiv - Machine Learning · 4 min ·
[2603.24384] On the Use of Bagging for Local Intrinsic Dimensionality Estimation
Machine Learning

[2603.24384] On the Use of Bagging for Local Intrinsic Dimensionality Estimation

Abstract page for arXiv paper 2603.24384: On the Use of Bagging for Local Intrinsic Dimensionality Estimation

arXiv - Machine Learning · 4 min ·
[2603.24382] MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
Llms

[2603.24382] MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization

Abstract page for arXiv paper 2603.24382: MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization

arXiv - Machine Learning · 3 min ·
[2603.24324] Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
Llms

[2603.24324] Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning

Abstract page for arXiv paper 2603.24324: Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforce...

arXiv - AI · 4 min ·
[2603.24275] Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
Llms

[2603.24275] Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers

Abstract page for arXiv paper 2603.24275: Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Sem...

arXiv - Machine Learning · 3 min ·
[2603.24254] Embracing Heteroscedasticity for Probabilistic Time Series Forecasting
Machine Learning

[2603.24254] Embracing Heteroscedasticity for Probabilistic Time Series Forecasting

Abstract page for arXiv paper 2603.24254: Embracing Heteroscedasticity for Probabilistic Time Series Forecasting

arXiv - Machine Learning · 3 min ·
[2603.24265] DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
Machine Learning

[2603.24265] DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction

Abstract page for arXiv paper 2603.24265: DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction

arXiv - Machine Learning · 4 min ·
[2603.24262] Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
Machine Learning

[2603.24262] Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting

Abstract page for arXiv paper 2603.24262: Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting

arXiv - Machine Learning · 3 min ·
[2603.24232] Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
Machine Learning

[2603.24232] Attack Assessment and Augmented Identity Recognition for Human Skeleton Data

Abstract page for arXiv paper 2603.24232: Attack Assessment and Augmented Identity Recognition for Human Skeleton Data

arXiv - Machine Learning · 4 min ·
[2603.24213] Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage
Machine Learning

[2603.24213] Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage

Abstract page for arXiv paper 2603.24213: Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link...

arXiv - Machine Learning · 4 min ·
[2603.24207] IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
Machine Learning

[2603.24207] IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting

Abstract page for arXiv paper 2603.24207: IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting

arXiv - Machine Learning · 3 min ·
[2603.24202] A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
Llms

[2603.24202] A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula

Abstract page for arXiv paper 2603.24202: A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula

arXiv - Machine Learning · 4 min ·
[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
Machine Learning

[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

Abstract page for arXiv paper 2603.24186: TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

arXiv - Machine Learning · 4 min ·
[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 ·
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