Cover Image

Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garg, Sahil, Schneider, Anderson, Raj, Anant, Rasul, Kashif, Nevmyvaka, Yuriy, Gopal, Sneihil, Dhurandhar, Amit, Cecchi, Guillermo, Rish, Irina
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Small Vocabularies, Big Gains: Pretraining and Tokenization in Time Series Models
by: Roger, Alexis, et al.
Published: (2025)

Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
by: Riachi, Roland, et al.
Published: (2025)

Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning
by: Sinha, Sanchit, et al.
Published: (2025)

Speculative Sampling for Parametric Temporal Point Processes
by: Biloš, Marin, et al.
Published: (2025)

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
by: Rojas, Kevin, et al.
Published: (2025)

$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

Reweighting Improves Conditional Risk Bounds
by: Zhang, Yikai, et al.
Published: (2025)

AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2025)

Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
by: Zheng, Chuanyang, et al.
Published: (2025)

Empowering Time Series Analysis with Large Language Models: A Survey
by: Jiang, Yushan, et al.
Published: (2024)

AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs
by: Hogan, Brendan R., et al.
Published: (2026)

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
by: Ning, Kanghui, et al.
Published: (2025)

IGGA: A Dataset of Industrial Guidelines and Policy Statements for Generative AIs
by: Jiao, Junfeng, et al.
Published: (2025)

Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors
by: Jiao, Junfeng, et al.
Published: (2025)

Cubit: Token Mixer with Kernel Ridge Regression
by: Zheng, Chuanyang, et al.
Published: (2026)

A Mechanistic Study of Tabular Foundation Models
by: Biloš, Marin, et al.
Published: (2026)

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
by: Rasul, Kashif, et al.
Published: (2023)

CELL your Model: Contrastive Explanations for Large Language Models
by: Luss, Ronny, et al.
Published: (2024)

Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
by: Ning, Kanghui, et al.
Published: (2025)

The Road of Adaptive AI for Precision in Cybersecurity
by: Garg, Sahil
Published: (2025)

FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing
by: Khandelwal, Anant
Published: (2023)

Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
by: Saeidi, Amir, et al.
Published: (2024)

The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)

Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
by: Jiralerspong, Marco, et al.
Published: (2023)

Image Tiling for High-Resolution Reasoning: Balancing Local Detail with Global Context
by: de Margerie, Anatole Jacquin, et al.
Published: (2025)

On the Adversarial Robustness of Discrete Image Tokenizers
by: Bhagwatkar, Rishika, et al.
Published: (2026)

A Multi-Component AI Framework for Computational Psychology: From Robust Predictive Modeling to Deployed Generative Dialogue
by: Pareek, Anant
Published: (2025)

VFA: Vision Frequency Analysis of Foundation Models and Human
by: Darvishi-Bayazi, Mohammad-Javad, et al.
Published: (2024)

Disambiguate First, Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing
by: Saparina, Irina, et al.
Published: (2025)

CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments
by: Bhagwatkar, Rishika, et al.
Published: (2025)

Technical Report: Full-Stack Fine-Tuning for the Q Programming Language
by: Hogan, Brendan R., et al.
Published: (2025)

PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination
by: Khandelwal, Anant
Published: (2024)

AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives
by: Chen, Yanxi, et al.
Published: (2025)

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions
by: Jiao, Junfeng, et al.
Published: (2025)

LLM Harms: A Taxonomy and Discussion
by: Chen, Kevin, et al.
Published: (2025)

LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models
by: Jiao, Junfeng, et al.
Published: (2025)

Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
by: Murali, Abhejay, et al.
Published: (2025)

LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM Interaction
by: Jiao, Junfeng, et al.
Published: (2025)

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
by: Hong, Jiwoo, et al.
Published: (2024)