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CV advise needed

i have been working as an R&D ml engineer in my current company for about 10 months i have been trying to apply ro other jobs mainly ...

Reddit - ML Jobs · 1 min ·
Llms

Founding Engineer (Full-Stack / AI) – Build the Future of Personalized Healthcare (San Francisco, In-Person)

Hi everyone Galen AI is an early-stage, YC-backed healthtech startup building a personal AI doctor by combining clinical data, wearable d...

Reddit - ML Jobs · 1 min ·
Machine Learning

Seeking Advice: Struggling to Get Call-backs After Career Break (4 YOE in Computer Vision/Deep Learning)

I'm finding it incredibly difficult to get back into the job market after taking a career break for personal reasons, and I could really ...

Reddit - ML Jobs · 1 min ·

All Content

[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 ·
[2604.04385] How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models
Llms

[2604.04385] How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models

Abstract page for arXiv paper 2604.04385: How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models

arXiv - AI · 4 min ·
[2604.04363] Integer-Only Operations on Extreme Learning Machine Test Time Classification
Machine Learning

[2604.04363] Integer-Only Operations on Extreme Learning Machine Test Time Classification

Abstract page for arXiv paper 2604.04363: Integer-Only Operations on Extreme Learning Machine Test Time Classification

arXiv - AI · 4 min ·
[2604.04373] Decocted Experience Improves Test-Time Inference in LLM Agents
Llms

[2604.04373] Decocted Experience Improves Test-Time Inference in LLM Agents

Abstract page for arXiv paper 2604.04373: Decocted Experience Improves Test-Time Inference in LLM Agents

arXiv - AI · 3 min ·
[2604.04356] REAM: Merging Improves Pruning of Experts in LLMs
Llms

[2604.04356] REAM: Merging Improves Pruning of Experts in LLMs

Abstract page for arXiv paper 2604.04356: REAM: Merging Improves Pruning of Experts in LLMs

arXiv - AI · 3 min ·
[2604.04349] Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems
Machine Learning

[2604.04349] Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems

Abstract page for arXiv paper 2604.04349: Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems

arXiv - Machine Learning · 3 min ·
[2604.04339] Thermodynamic-Inspired Explainable GeoAI: Uncovering Regime-Dependent Mechanisms in Heterogeneous Spatial Systems
Machine Learning

[2604.04339] Thermodynamic-Inspired Explainable GeoAI: Uncovering Regime-Dependent Mechanisms in Heterogeneous Spatial Systems

Abstract page for arXiv paper 2604.04339: Thermodynamic-Inspired Explainable GeoAI: Uncovering Regime-Dependent Mechanisms in Heterogeneo...

arXiv - AI · 3 min ·
[2604.04328] Soft Tournament Equilibrium
Llms

[2604.04328] Soft Tournament Equilibrium

Abstract page for arXiv paper 2604.04328: Soft Tournament Equilibrium

arXiv - AI · 4 min ·
[2604.04321] Minimising Willmore Energy via Neural Flow
Llms

[2604.04321] Minimising Willmore Energy via Neural Flow

Abstract page for arXiv paper 2604.04321: Minimising Willmore Energy via Neural Flow

arXiv - Machine Learning · 3 min ·
[2604.04247] Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
Llms

[2604.04247] Combee: Scaling Prompt Learning for Self-Improving Language Model Agents

Abstract page for arXiv paper 2604.04247: Combee: Scaling Prompt Learning for Self-Improving Language Model Agents

arXiv - AI · 4 min ·
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