Cover Image

Who Said Neural Networks Aren't Linear?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Berman, Nimrod, Hallak, Assaf, Shocher, Assaf
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pseudo-Invertible Neural Networks
by: Ehrlich, Yamit, et al.
Published: (2026)

RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
by: Gadot, Uri, et al.
Published: (2025)

More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
by: Dalal, Gal, et al.
Published: (2026)

Policy Gradient with Tree Expansion
by: Dalal, Gal, et al.
Published: (2023)

From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL
by: Admoni, Sahar, et al.
Published: (2025)

Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts
by: Trehan, Dhruv, et al.
Published: (2026)

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
by: Lahiany, Assaf, et al.
Published: (2025)

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
by: Winata, Genta Indra, et al.
Published: (2025)

Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models
by: Kulkarni, Prashant, et al.
Published: (2025)

Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
by: Xu, Yunbei, et al.
Published: (2020)

Linear Bandits with Partially Observable Features
by: Kim, Wonyoung, et al.
Published: (2025)

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning
by: Lahiany, Assaf, et al.
Published: (2025)

Bayesian Design Principles for Frequentist Sequential Learning
by: Xu, Yunbei, et al.
Published: (2023)

Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models
by: Shmuel, Assaf, et al.
Published: (2025)

A Broader View of Thompson Sampling
by: Qu, Yanlin, et al.
Published: (2025)

The Cost of Learning under Multiple Change Points
by: Gafni, Tomer, et al.
Published: (2026)

Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks
by: Shmuel, Assaf, et al.
Published: (2023)

Learning the Pareto Front Using Bootstrapped Observation Samples
by: Kim, Wonyoung, et al.
Published: (2023)

FOSI: Hybrid First and Second Order Optimization
by: Sivan, Hadar, et al.
Published: (2023)

A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
by: Fadlon, Gal, et al.
Published: (2025)

Why Aren't There More Whistleblowers?
by: Robert A. Aronowitz
Published: (2024)

Stochastic positional embeddings improve masked image modeling
by: Bar, Amir, et al.
Published: (2023)

A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
by: Shmuel, Assaf, et al.
Published: (2024)

Adaptive Querying with AI Persona Priors
by: Wang, Kaizheng, et al.
Published: (2026)

Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms
by: Sun, Anchen, et al.
Published: (2024)

VoxSafeBench: Not Just What Is Said, but Who, How, and Where
by: Wang, Yuxiang, et al.
Published: (2026)

KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
by: Heinimann, Oliver, et al.
Published: (2025)

DNCs Require More Planning Steps
by: Shamshoum, Yara, et al.
Published: (2024)

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
by: Gonen, Tal, et al.
Published: (2025)

DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
by: Zisling, Hedi, et al.
Published: (2025)

Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
by: Berman, Nimrod, et al.
Published: (2024)

They Aren’t, Until I Call Them
by: Bollobás, Enikö
Published: (2019)

NREN: The Big Issues Aren't Technical.
by: Flanders, Bruce
Published: (1991)

Aren't We All Teachers of Literacy?
by: Bernadowski, Carianne
Published: (2008)

Why Aren’t Cuban Men Healthier?
by: Ramón Rivero-Pino
Published: (2020)

"Trust me on this" Explaining Agent Behavior to a Human Terminator
by: Menkes, Uri, et al.
Published: (2025)

Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function Approximation
by: Kim, Wonyoung, et al.
Published: (2026)

Graphic Novels for (Really) Young Readers: Owly, Buzzboy, Pinky and Stinky. Who Are These Guys? And Why Aren't They Ever on The Shelf?
by: Lyga, Allyson A. W.
Published: (2006)

Meta-autoencoders: An approach to discovery and representation of relationships between dynamically evolving classes
by: Marron, Assaf, et al.
Published: (2025)

CompAct: Compressed Activations for Memory-Efficient LLM Training
by: Shamshoum, Yara, et al.
Published: (2024)