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Machine Learning

FLUX 2 Pro (2026) Sketch to Image

I sketched a cow and tested how different models interpret it into a realistic image for downstream 3D generation, turns out some models ...

Reddit - Artificial Intelligence · 1 min ·
Improving AI models’ ability to explain their predictions
Machine Learning

Improving AI models’ ability to explain their predictions

AI News - General · 9 min ·
Machine Learning

[D] TMLR reviews seem more reliable than ICML/NeurIPS/ICLR

This year I submitted a paper to ICML for the first time. I have also experienced the review process at TMLR and ICLR. From my observatio...

Reddit - Machine Learning · 1 min ·

All Content

[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 ·
[2603.25509] Conformal Prediction for Nonparametric Instrumental Regression
Machine Learning

[2603.25509] Conformal Prediction for Nonparametric Instrumental Regression

Abstract page for arXiv paper 2603.25509: Conformal Prediction for Nonparametric Instrumental Regression

arXiv - Machine Learning · 3 min ·
[2603.25507] Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification
Machine Learning

[2603.25507] Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification

Abstract page for arXiv paper 2603.25507: Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification

arXiv - AI · 4 min ·
[2603.25322] AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study
Llms

[2603.25322] AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study

Abstract page for arXiv paper 2603.25322: AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease D...

arXiv - AI · 4 min ·
[2603.25466] Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
Machine Learning

[2603.25466] Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation

Abstract page for arXiv paper 2603.25466: Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation

arXiv - Machine Learning · 3 min ·
[2603.25289] Revealing the influence of participant failures on model quality in cross-silo Federated Learning
Machine Learning

[2603.25289] Revealing the influence of participant failures on model quality in cross-silo Federated Learning

Abstract page for arXiv paper 2603.25289: Revealing the influence of participant failures on model quality in cross-silo Federated Learning

arXiv - AI · 4 min ·
[2603.25440] The Symmetric Perceptron: a Teacher-Student Scenario
Machine Learning

[2603.25440] The Symmetric Perceptron: a Teacher-Student Scenario

Abstract page for arXiv paper 2603.25440: The Symmetric Perceptron: a Teacher-Student Scenario

arXiv - Machine Learning · 4 min ·
[2603.25414] Decidable By Construction: Design-Time Verification for Trustworthy AI
Machine Learning

[2603.25414] Decidable By Construction: Design-Time Verification for Trustworthy AI

Abstract page for arXiv paper 2603.25414: Decidable By Construction: Design-Time Verification for Trustworthy AI

arXiv - AI · 4 min ·
[2603.25268] CRAFT: Grounded Multi-Agent Coordination Under Partial Information
Llms

[2603.25268] CRAFT: Grounded Multi-Agent Coordination Under Partial Information

Abstract page for arXiv paper 2603.25268: CRAFT: Grounded Multi-Agent Coordination Under Partial Information

arXiv - AI · 3 min ·
[2603.25403] Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models
Llms

[2603.25403] Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models

Abstract page for arXiv paper 2603.25403: Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models

arXiv - AI · 3 min ·
[2603.25253] MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
Llms

[2603.25253] MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation

Abstract page for arXiv paper 2603.25253: MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Eluci...

arXiv - AI · 4 min ·
[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies
Machine Learning

[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies

Abstract page for arXiv paper 2603.25397: A Causal Framework for Evaluating ICU Discharge Strategies

arXiv - AI · 3 min ·
[2603.25374] Supercharging Federated Intelligence Retrieval
Llms

[2603.25374] Supercharging Federated Intelligence Retrieval

Abstract page for arXiv paper 2603.25374: Supercharging Federated Intelligence Retrieval

arXiv - Machine Learning · 3 min ·
[2603.25247] FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
Machine Learning

[2603.25247] FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics

Abstract page for arXiv paper 2603.25247: FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics

arXiv - AI · 4 min ·
[2603.25243] FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA
Llms

[2603.25243] FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

Abstract page for arXiv paper 2603.25243: FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

arXiv - AI · 3 min ·
[2603.25311] Practical Efficient Global Optimization is No-regret
Machine Learning

[2603.25311] Practical Efficient Global Optimization is No-regret

Abstract page for arXiv paper 2603.25311: Practical Efficient Global Optimization is No-regret

arXiv - Machine Learning · 3 min ·
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