🤖 Machine Learning - ebalzuweit · Scour

Advancing the State-of-the-Art in Empirical Privacy Auditing

📡Observability Academic

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune

📡Observability Academic

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

🌐Distributed Systems Academic

Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning

📡Observability Academic

The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

🔣Logic Academic

Benchmarking Large Language Models for Safety Data Extraction

🐍Python Academic

Harness In-Context Operator Learning with Chain of Operators

💻CLI Tools Academic

Spiking Neural Network inference on FPGAs with hls4ml

🌐Distributed Systems Academic

Second-Order Path Kernel Interpolation Formulas in Machine Learning

🎯Decision Making Academic

MODIP: Efficient Model-Based Optimization for Diffusion Policies

🌐Distributed Systems Academic

Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction

🔄Systems Thinking Academic

RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning

🌐Distributed Systems Academic

Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data

🔣Logic Academic

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

🌀Complexity Theory Academic

SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration

🌐Distributed Systems Academic

SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks

🌀Complexity Theory Academic

Emergent Misalignment Can Be Induced by Sycophancy and Reversed via Alignment Gating

🌀Complexity Theory Academic

Exploring the Design Space of Reward Backpropagation for Flow Matching

🌐Distributed Systems Academic

Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?

🌐Distributed Systems Academic

Synthetic pre-training of graph-network models for predicting solid-state NMR parameters

🌐Distributed Systems Academic

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