Alessandro Achille

About Alessandro Achille

Alessandro Achille, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Computer Vision, Machine Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

NeRF-Insert: 3D Local Editing with Multimodal Control Signals

Ai model disgorgement: Methods and choices

Multi-modal hallucination control by visual information grounding

Spacetime-efficient low-depth quantum state preparation with applications

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding

Your representations are in the network: composable and parallel adaptation for large scale models

Leveraging sparse and shared feature activations for disentangled representation learning

Gacs-korner common information variational autoencoder

Alessandro Achille Information

University

Position

Applied Scientist Amazon Web Services and

Citations(all)

3020

Citations(since 2020)

2850

Cited By

915

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Alessandro Achille Skills & Research Interests

Computer Vision

Machine Learning

Artificial Intelligence

Top articles of Alessandro Achille

NeRF-Insert: 3D Local Editing with Multimodal Control Signals

arXiv preprint arXiv:2404.19204

2024/4/30

Alessandro Achille
Alessandro Achille

H-Index: 11

Stefano Soatto
Stefano Soatto

H-Index: 44

Ai model disgorgement: Methods and choices

Proceedings of the National Academy of Sciences

2024/4/30

Multi-modal hallucination control by visual information grounding

arXiv preprint arXiv:2403.14003

2024/3/20

Spacetime-efficient low-depth quantum state preparation with applications

Quantum 8, 1257

2024/2/15

Kaiwen Gui
Kaiwen Gui

H-Index: 4

Alessandro Achille
Alessandro Achille

H-Index: 11

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding

arXiv preprint arXiv:2402.08919

2024/2/14

Your representations are in the network: composable and parallel adaptation for large scale models

Advances in Neural Information Processing Systems

2024/2/13

Leveraging sparse and shared feature activations for disentangled representation learning

Advances in Neural Information Processing Systems

2024/2/13

Gacs-korner common information variational autoencoder

Advances in Neural Information Processing Systems

2024/2/13

CPR: Retrieval augmented generation for copyright protection

2024

Meaning representations from trajectories in autoregressive models

arXiv preprint arXiv:2310.18348

2023/10/23

Critical Learning Periods Emerge Even in Deep Linear Networks

arXiv preprint arXiv:2308.12221

2023/8/23

Training data protection with compositional diffusion models

arXiv preprint arXiv:2308.01937

2023/8/2

Towards Visual Foundational Models of Physical Scenes

arXiv preprint arXiv:2306.03727

2023/6/6

Prompt algebra for task composition

arXiv preprint arXiv:2306.00310

2023/6/1

Introspective cross-attention probing for lightweight transfer of pre-trained models

arXiv e-prints

2023/3

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting

arXiv preprint arXiv:2302.07994

2023/2/15

Linear spaces of meanings: the compositional language of vlms

arXiv e-prints

2023/2

Linear spaces of meanings: compositional structures in vision-language models

2023

Safe: Machine unlearning with shard graphs

2023

Train/test-time adaptation with retrieval

2023

See List of Professors in Alessandro Achille University(California Institute of Technology)

Co-Authors

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