Cover Image

On the Challenges and Opportunities in Generative AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Manduchi, Laura, Meister, Clara, Pandey, Kushagra, Bamler, Robert, Cotterell, Ryan, Däubener, Sina, Fellenz, Sophie, Fischer, Asja, Gärtner, Thomas, Kirchler, Matthias, Kloft, Marius, Li, Yingzhen, Lippert, Christoph, de Melo, Gerard, Nalisnick, Eric, Ommer, Björn, Ranganath, Rajesh, Rudolph, Maja, Ullrich, Karen, Broeck, Guy Van den, Vogt, Julia E, Wang, Yixin, Wenzel, Florian, Wood, Frank, Mandt, Stephan, Fortuin, Vincent
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating uncertainty quantification into randomized smoothing based robustness guarantees
by: Däubener, Sina, et al.
Published: (2024)

Towards Fast Stochastic Sampling in Diffusion Generative Models
by: Pandey, Kushagra, et al.
Published: (2024)

Kernelised Normalising Flows
by: English, Eshant, et al.
Published: (2023)

MixerFlow: MLP-Mixer meets Normalising Flows
by: English, Eshant, et al.
Published: (2023)

Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025)

Sparse Data Diffusion for Scientific Simulations in Biology and Physics
by: Ostheimer, Phil, et al.
Published: (2025)

SetPINNs: Set-based Physics-informed Neural Networks
by: Nagda, Mayank, et al.
Published: (2024)

Comgra: A Tool for Analyzing and Debugging Neural Networks
by: Dietz, Florian, et al.
Published: (2024)

Fast Samplers for Inverse Problems in Iterative Refinement Models
by: Pandey, Kushagra, et al.
Published: (2024)

Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025)

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
by: Cinquin, Tristan, et al.
Published: (2024)

Anomaly Detection of Tabular Data Using LLMs
by: Li, Aodong, et al.
Published: (2024)

PIANO: Physics Informed Autoregressive Network
by: Nagda, Mayank, et al.
Published: (2025)

On the Effect of Regularization on Nonparametric Mean-Variance Regression
by: Wong-Toi, Eliot, et al.
Published: (2025)

Understanding Pathologies of Deep Heteroskedastic Regression
by: Wong-Toi, Eliot, et al.
Published: (2023)

Skipping the Zeros in Diffusion Models for Sparse Data Generation
by: Ostheimer, Phil Sidney, et al.
Published: (2026)

Early-Exit Neural Networks with Nested Prediction Sets
by: Jazbec, Metod, et al.
Published: (2023)

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
by: Specht, Thomas, et al.
Published: (2024)

Multi-level Supervised Contrastive Learning
by: Ghanooni, Naghmeh, et al.
Published: (2025)

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise
by: Wang, Puyu, et al.
Published: (2026)

Control-Augmented Autoregressive Diffusion for Data Assimilation
by: Srivastava, Prakhar, et al.
Published: (2025)

Variational Control for Guidance in Diffusion Models
by: Pandey, Kushagra, et al.
Published: (2025)

Locally Typical Sampling
by: Meister, Clara, et al.
Published: (2022)

Generative Uncertainty in Diffusion Models
by: Jazbec, Metod, et al.
Published: (2025)

Digitale Baufabrikation – der Weg zur Einheit von Material, Prozess und Form
by: Harald Kloft
Published: (2025)

Additive Manufacturing: A Key Driver for Construction in the Digital Age
by: Harald Kloft
Published: (2026)

Hierarchical Variational Policies for Reward-Guided Diffusion
by: Pandey, Kushagra, et al.
Published: (2026)

Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
by: Franks, Billy Joe, et al.
Published: (2024)

Isoeritrolisis neonatal en potranca Sangre Pura de Carrera: abordaje clínico terapéutico desde la práctica
by: Daniel Fernández Fellenz
Published: (2024)

On the Identifiability of Switching Dynamical Systems
by: Balsells-Rodas, Carles, et al.
Published: (2023)

Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks
by: Cinquin, Tristan, et al.
Published: (2024)

Mouse-Guided Gaze: Semi-Supervised Learning of Intention-Aware Representations for Reading Detection
by: Heo, Seongsil, et al.
Published: (2025)

S-BLE: A Participatory BLE Sensory Data Set Recorded from Real-World Bus Travel Events
by: Lam, Jonathan, et al.
Published: (2025)

Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding
by: Conzelmann, Alexander, et al.
Published: (2025)

Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution
by: Zenn, Johannes, et al.
Published: (2024)

PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones
by: Cheng, Yunqian, et al.
Published: (2024)

Reimagining Anomalies: What If Anomalies Were Normal?
by: Liznerski, Philipp, et al.
Published: (2024)

Formal Aspects of Language Modeling
by: Cotterell, Ryan, et al.
Published: (2023)

TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion
by: Gonçalves, Jorge da Silva, et al.
Published: (2024)

scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data
by: Vandenhirtz, Moritz, et al.
Published: (2024)