Saved in:
| Main Authors: | Pandey, Vishal, Laskar, Ruzina Haque, Tewari, Rishav |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.13464 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified View of Optimal Kernel Hypothesis Testing
by: Schrab, Antonin
Published: (2025)
by: Schrab, Antonin
Published: (2025)
Optimizing FPGA and Wafer Test Coverage with Spatial Sampling and Machine Learning
by: WeiQuan, Wang, et al.
Published: (2025)
by: WeiQuan, Wang, et al.
Published: (2025)
Statistical Unlearning of Distributions: A Hypothesis Testing Approach
by: Pandey, Aaradhya, et al.
Published: (2026)
by: Pandey, Aaradhya, et al.
Published: (2026)
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach
by: Pandey, Aaradhya, et al.
Published: (2025)
by: Pandey, Aaradhya, et al.
Published: (2025)
Active Hypothesis Testing for Correlated Combinatorial Anomaly Detection
by: Yang, Zichuan, et al.
Published: (2026)
by: Yang, Zichuan, et al.
Published: (2026)
Diffusion-Based Hypothesis Testing and Change-Point Detection
by: Moushegian, Sean, et al.
Published: (2025)
by: Moushegian, Sean, et al.
Published: (2025)
Compute Aligned Training: Optimizing for Test Time Inference
by: Ousherovitch, Adam, et al.
Published: (2026)
by: Ousherovitch, Adam, et al.
Published: (2026)
Variational Linear Attention: Stable Associative Memory for Long-Context Transformers
by: Pandey, Vishal, et al.
Published: (2026)
by: Pandey, Vishal, et al.
Published: (2026)
Spiking Decision Transformers: Local Plasticity, Phase-Coding, and Dendritic Routing for Low-Power Sequence Control
by: Pandey, Vishal, et al.
Published: (2025)
by: Pandey, Vishal, et al.
Published: (2025)
Strategic Hypothesis Testing
by: Hossain, Safwan, et al.
Published: (2025)
by: Hossain, Safwan, et al.
Published: (2025)
Hypothesis Testing the Circuit Hypothesis in LLMs
by: Shi, Claudia, et al.
Published: (2024)
by: Shi, Claudia, et al.
Published: (2024)
Testing the Machine Consciousness Hypothesis
by: Fitz, Stephen
Published: (2025)
by: Fitz, Stephen
Published: (2025)
Operator Learning: A Statistical Perspective
by: Subedi, Unique, et al.
Published: (2025)
by: Subedi, Unique, et al.
Published: (2025)
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
by: Phong, Le Hong, et al.
Published: (2024)
by: Phong, Le Hong, et al.
Published: (2024)
Bayesian Event-Based Model for Disease Subtype and Stage Inference
by: Hao, Hongtao, et al.
Published: (2025)
by: Hao, Hongtao, et al.
Published: (2025)
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
by: Wang, Yun, et al.
Published: (2024)
by: Wang, Yun, et al.
Published: (2024)
A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
by: Furlong, Aidan, et al.
Published: (2025)
by: Furlong, Aidan, et al.
Published: (2025)
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
by: Hong, Kihyuk, et al.
Published: (2024)
by: Hong, Kihyuk, et al.
Published: (2024)
Handling Delay in Real-Time Reinforcement Learning
by: Anokhin, Ivan, et al.
Published: (2025)
by: Anokhin, Ivan, et al.
Published: (2025)
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)
by: Azimi, Rambod, et al.
Published: (2024)
A Novel Multimodal Framework for Early Detection of Alzheimers Disease Using Deep Learning
by: Nagarhalli, Tatwadarshi P, et al.
Published: (2025)
by: Nagarhalli, Tatwadarshi P, et al.
Published: (2025)
On the Benefits of Active Data Collection in Operator Learning
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
by: Pichler, Georg, et al.
Published: (2024)
by: Pichler, Georg, et al.
Published: (2024)
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
by: Chen, Can, et al.
Published: (2024)
by: Chen, Can, et al.
Published: (2024)
Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025)
by: Rayan, Sahana, et al.
Published: (2025)
Hypothesis Testing in Imaging Inverse Problems
by: Xi, Yiming, et al.
Published: (2025)
by: Xi, Yiming, et al.
Published: (2025)
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
by: Cai, Yinpeng, et al.
Published: (2025)
by: Cai, Yinpeng, et al.
Published: (2025)
Contrastive MIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning
by: Livne, Micha
Published: (2025)
by: Livne, Micha
Published: (2025)
AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling
by: Pandey, Vishal, et al.
Published: (2025)
by: Pandey, Vishal, et al.
Published: (2025)
If generative AI is the answer, what is the question?
by: Tewari, Ambuj
Published: (2025)
by: Tewari, Ambuj
Published: (2025)
Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
by: Mainuddin, Md, et al.
Published: (2024)
by: Mainuddin, Md, et al.
Published: (2024)
Trackly: A Unified SaaS Platform for User Behavior Analytics and Real Time Rule Based Anomaly Detection
by: Haque, Md Zahurul, et al.
Published: (2026)
by: Haque, Md Zahurul, et al.
Published: (2026)
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
by: Panda, Subhodip, et al.
Published: (2025)
by: Panda, Subhodip, et al.
Published: (2025)
Semi-Supervised Hypothesis Testing by Betting on Predictions
by: Tenzer, Yaniv, et al.
Published: (2026)
by: Tenzer, Yaniv, et al.
Published: (2026)
Test-Time Alignment via Hypothesis Reweighting
by: Lee, Yoonho, et al.
Published: (2024)
by: Lee, Yoonho, et al.
Published: (2024)
Is Zero-Shot Super-Resolution Possible in Operator Learning?
by: Subedi, Unique, et al.
Published: (2026)
by: Subedi, Unique, et al.
Published: (2026)
A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
by: Chen, Xingran, et al.
Published: (2025)
by: Chen, Xingran, et al.
Published: (2025)
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2025)
by: Darban, Zahra Zamanzadeh, et al.
Published: (2025)
Bank Loan Prediction Using Machine Learning Techniques
by: Haque, F M Ahosanul, et al.
Published: (2024)
by: Haque, F M Ahosanul, et al.
Published: (2024)
Diabetes Prediction Using Machine Learning
by: GOKUL, BESTHA, et al.
Published: (2025)
by: GOKUL, BESTHA, et al.
Published: (2025)
Similar Items
-
A Unified View of Optimal Kernel Hypothesis Testing
by: Schrab, Antonin
Published: (2025) -
Optimizing FPGA and Wafer Test Coverage with Spatial Sampling and Machine Learning
by: WeiQuan, Wang, et al.
Published: (2025) -
Statistical Unlearning of Distributions: A Hypothesis Testing Approach
by: Pandey, Aaradhya, et al.
Published: (2026) -
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach
by: Pandey, Aaradhya, et al.
Published: (2025) -
Active Hypothesis Testing for Correlated Combinatorial Anomaly Detection
by: Yang, Zichuan, et al.
Published: (2026)