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Machine Learning

Parax: Parametric Modeling in JAX + Equinox [P]

Hi everyone! Just wanted to share my Python project Parax - an add-on on top of the Equinox library catering for parameter-first modeling...

Reddit - Machine Learning · 1 min ·
Machine Learning

Is the ICML 2026 final justification period still open? [R]

Can ICML reviewers still post their final justification until the end of the AC–reviewer discussion period? submitted by /u/No_Fig_3372 [...

Reddit - Machine Learning · 1 min ·
Llms

Cant wait to use Mythos model - Anthropic refuses to release Claude Mythos publicly — model found thousands of zero-days across every major OS and browser. Launches Project Glasswing with Apple, Microsoft, Google, and others for defensive use.

Anthropic announced Project Glasswing, a defensive cybersecurity initiative with Apple, Microsoft, Google, AWS, NVIDIA, CrowdStrike, and ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.25646] A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
Llms

[2603.25646] A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

Abstract page for arXiv paper 2603.25646: A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

arXiv - AI · 3 min ·
[2411.17501] The Limits of Inference Scaling Through Resampling
Machine Learning

[2411.17501] The Limits of Inference Scaling Through Resampling

Abstract page for arXiv paper 2411.17501: The Limits of Inference Scaling Through Resampling

arXiv - AI · 4 min ·
[2603.25613] Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification
Llms

[2603.25613] Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

Abstract page for arXiv paper 2603.25613: Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verif...

arXiv - AI · 4 min ·
[2410.21764] Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
Machine Learning

[2410.21764] Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning

Abstract page for arXiv paper 2410.21764: Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning

arXiv - AI · 4 min ·
[2603.25607] DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial
Machine Learning

[2603.25607] DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial

Abstract page for arXiv paper 2603.25607: DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborativ...

arXiv - AI · 4 min ·
[2408.05696] SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
Llms

[2408.05696] SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction

Abstract page for arXiv paper 2408.05696: SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction

arXiv - Machine Learning · 4 min ·
[2403.04545] Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
Machine Learning

[2403.04545] Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets

Abstract page for arXiv paper 2403.04545: Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization ...

arXiv - Machine Learning · 3 min ·
[2401.12546] On Building Myopic MPC Policies using Supervised Learning
Machine Learning

[2401.12546] On Building Myopic MPC Policies using Supervised Learning

Abstract page for arXiv paper 2401.12546: On Building Myopic MPC Policies using Supervised Learning

arXiv - Machine Learning · 4 min ·
[2603.25740] Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
Machine Learning

[2603.25740] Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving

Abstract page for arXiv paper 2603.25740: Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving

arXiv - AI · 4 min ·
[2603.25722] No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
Machine Learning

[2603.25722] No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models

Abstract page for arXiv paper 2603.25722: No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degradin...

arXiv - Machine Learning · 4 min ·
[2603.25638] Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
Llms

[2603.25638] Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers

Abstract page for arXiv paper 2603.25638: Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers

arXiv - Machine Learning · 3 min ·
[2603.25462] Temporally Decoupled Diffusion Planning for Autonomous Driving
Machine Learning

[2603.25462] Temporally Decoupled Diffusion Planning for Autonomous Driving

Abstract page for arXiv paper 2603.25462: Temporally Decoupled Diffusion Planning for Autonomous Driving

arXiv - AI · 3 min ·
[2603.25629] LanteRn: Latent Visual Structured Reasoning
Machine Learning

[2603.25629] LanteRn: Latent Visual Structured Reasoning

Abstract page for arXiv paper 2603.25629: LanteRn: Latent Visual Structured Reasoning

arXiv - Machine Learning · 3 min ·
[2603.25423] From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild
Machine Learning

[2603.25423] From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild

Abstract page for arXiv paper 2603.25423: From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunki...

arXiv - AI · 4 min ·
[2603.25622] The Geometry of Efficient Nonconvex Sampling
Machine Learning

[2603.25622] The Geometry of Efficient Nonconvex Sampling

Abstract page for arXiv paper 2603.25622: The Geometry of Efficient Nonconvex Sampling

arXiv - Machine Learning · 3 min ·
[2603.25579] The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks
Machine Learning

[2603.25579] The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks

Abstract page for arXiv paper 2603.25579: The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks

arXiv - Machine Learning · 4 min ·
[2603.25573] Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
Machine Learning

[2603.25573] Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

Abstract page for arXiv paper 2603.25573: Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

arXiv - Machine Learning · 4 min ·
[2603.25535] Insights on back marking for the automated identification of animals
Machine Learning

[2603.25535] Insights on back marking for the automated identification of animals

Abstract page for arXiv paper 2603.25535: Insights on back marking for the automated identification of animals

arXiv - Machine Learning · 4 min ·
[2603.25366] Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics
Machine Learning

[2603.25366] Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics

Abstract page for arXiv paper 2603.25366: Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics

arXiv - AI · 3 min ·
[2603.25517] NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
Machine Learning

[2603.25517] NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs

Abstract page for arXiv paper 2603.25517: NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs

arXiv - AI · 4 min ·
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