Saved in:
| Main Authors: | Pati, Sarthak, Mazurek, Szymon, Bakas, Spyridon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.00173 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Classifying Histopathologic Glioblastoma Sub-regions with EfficientNet
by: Adap, Sanyukta, et al.
Published: (2025)
by: Adap, Sanyukta, et al.
Published: (2025)
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
by: Mazurek, Szymon, et al.
Published: (2025)
by: Mazurek, Szymon, et al.
Published: (2025)
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
by: Mazurek, Szymon, et al.
Published: (2024)
by: Mazurek, Szymon, et al.
Published: (2024)
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI
by: Godau, Patrick, et al.
Published: (2024)
by: Godau, Patrick, et al.
Published: (2024)
zkFL-Health: Blockchain-Enabled Zero-Knowledge Federated Learning for Medical AI Privacy
by: Sharma, Savvy, et al.
Published: (2025)
by: Sharma, Savvy, et al.
Published: (2025)
DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications
by: Suresh, Sathya Krishnan, et al.
Published: (2024)
by: Suresh, Sathya Krishnan, et al.
Published: (2024)
Inference for Regression with Variables Generated by AI or Machine Learning
by: Battaglia, Laura, et al.
Published: (2024)
by: Battaglia, Laura, et al.
Published: (2024)
TimeSynth: A Framework for Uncovering Systematic Biases in Time Series Forecasting
by: Haque, Md Rakibul, et al.
Published: (2026)
by: Haque, Md Rakibul, et al.
Published: (2026)
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models
by: Mollaysa, Amina, et al.
Published: (2025)
by: Mollaysa, Amina, et al.
Published: (2025)
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
by: Kofler, Florian, et al.
Published: (2025)
by: Kofler, Florian, et al.
Published: (2025)
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
by: Taki, Sifat Ut, et al.
Published: (2024)
by: Taki, Sifat Ut, et al.
Published: (2024)
NodeSynth: Socially Aligned Synthetic Data for AI Evaluation
by: Rashid, Qazi Mamunur, et al.
Published: (2026)
by: Rashid, Qazi Mamunur, et al.
Published: (2026)
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data
by: Gao, Chufan, et al.
Published: (2024)
by: Gao, Chufan, et al.
Published: (2024)
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)
by: Paraschou, Eva, et al.
Published: (2025)
From Robotics to Sepsis Treatment: Offline RL via Geometric Pessimism
by: Wanjari, Sarthak
Published: (2026)
by: Wanjari, Sarthak
Published: (2026)
Beyond Sequential Prediction: Learning Financial Market Dynamics in Volatile and Non-Stationary Environments through Sentiment-Conditioned Generative Modelling
by: Lazanas, Alexis, et al.
Published: (2026)
by: Lazanas, Alexis, et al.
Published: (2026)
SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data
by: Lautrup, Anton Danholt, et al.
Published: (2024)
by: Lautrup, Anton Danholt, et al.
Published: (2024)
Stability of Sequential and Parallel Coordinate Ascent Variational Inference
by: Pati, Debdeep
Published: (2026)
by: Pati, Debdeep
Published: (2026)
SynthTools: A Framework for Scaling Synthetic Tools for Agent Development
by: Castellani, Tommaso, et al.
Published: (2025)
by: Castellani, Tommaso, et al.
Published: (2025)
CasualSynth: Generating Structurally Sound Synthetic Data
by: Cheng, Zehua, et al.
Published: (2026)
by: Cheng, Zehua, et al.
Published: (2026)
BoxRL-NNV: Boxed Refinement of Latin Hypercube Samples for Neural Network Verification
by: Das, Sarthak
Published: (2025)
by: Das, Sarthak
Published: (2025)
Extending Beacon to Hindi: Cultural Adaptation Drives Cross-Lingual Sycophancy
by: Sattigeri, Sarthak
Published: (2026)
by: Sattigeri, Sarthak
Published: (2026)
Democratizing AI scientists using ToolUniverse
by: Gao, Shanghua, et al.
Published: (2025)
by: Gao, Shanghua, et al.
Published: (2025)
Democratizing AI in Africa: FL for Low-Resource Edge Devices
by: Fabila, Jorge, et al.
Published: (2024)
by: Fabila, Jorge, et al.
Published: (2024)
A Framework for Interpretability in Machine Learning for Medical Imaging
by: Wang, Alan Q., et al.
Published: (2023)
by: Wang, Alan Q., et al.
Published: (2023)
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
by: Raptis, Spyridon, et al.
Published: (2025)
by: Raptis, Spyridon, et al.
Published: (2025)
Democratizing AI Governance: Balancing Expertise and Public Participation
by: Ter-Minassian, Lucile
Published: (2025)
by: Ter-Minassian, Lucile
Published: (2025)
Remote Action Generation: Remote Control with Minimal Communication
by: Kobus, Szymon, et al.
Published: (2026)
by: Kobus, Szymon, et al.
Published: (2026)
SynthFormer: Equivariant Pharmacophore-based Generation of Synthesizable Molecules for Ligand-Based Drug Design
by: Jocys, Zygimantas, et al.
Published: (2024)
by: Jocys, Zygimantas, et al.
Published: (2024)
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
by: Griesbauer, Elisabeth, et al.
Published: (2025)
by: Griesbauer, Elisabeth, et al.
Published: (2025)
Out-of-distribution generalisation is hard: evidence from ARC-like tasks
by: Dimitriadis, George, et al.
Published: (2025)
by: Dimitriadis, George, et al.
Published: (2025)
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
by: Bhardwaj, Devansh, et al.
Published: (2024)
by: Bhardwaj, Devansh, et al.
Published: (2024)
Generation of Optimized Solidity Code for Machine Learning Models using LLMs
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
Towards Sustainable Development: A Novel Integrated Machine Learning Model for Holistic Environmental Health Monitoring
by: Mazumder, Anirudh, et al.
Published: (2023)
by: Mazumder, Anirudh, et al.
Published: (2023)
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
by: Kowshik, Suhas S, et al.
Published: (2024)
by: Kowshik, Suhas S, et al.
Published: (2024)
Constrained Reweighting of Distributions: an Optimal Transport Approach
by: Chakraborty, Abhisek, et al.
Published: (2023)
by: Chakraborty, Abhisek, et al.
Published: (2023)
Predicting Chess Puzzle Difficulty with Transformers
by: Miłosz, Szymon, et al.
Published: (2024)
by: Miłosz, Szymon, et al.
Published: (2024)
Class flipping for uplift modeling and Heterogeneous Treatment Effect estimation on imbalanced RCT data
by: Rudaś, Krzysztof, et al.
Published: (2024)
by: Rudaś, Krzysztof, et al.
Published: (2024)
$F_β$-plot -- a visual tool for evaluating imbalanced data classifiers
by: Wojciechowski, Szymon, et al.
Published: (2024)
by: Wojciechowski, Szymon, et al.
Published: (2024)
Evaluation of Multi- and Single-objective Learning Algorithms for Imbalanced Data
by: Wojciechowski, Szymon, et al.
Published: (2025)
by: Wojciechowski, Szymon, et al.
Published: (2025)
Similar Items
-
Classifying Histopathologic Glioblastoma Sub-regions with EfficientNet
by: Adap, Sanyukta, et al.
Published: (2025) -
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
by: Mazurek, Szymon, et al.
Published: (2025) -
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
by: Mazurek, Szymon, et al.
Published: (2024) -
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI
by: Godau, Patrick, et al.
Published: (2024) -
zkFL-Health: Blockchain-Enabled Zero-Knowledge Federated Learning for Medical AI Privacy
by: Sharma, Savvy, et al.
Published: (2025)