The Latest

We at LLNL are excited to be part of the dynamic data science community, and we look forward to meeting new colleagues and learning from each other at these events.

Upcoming Events

International Conference on Machine Learning (ICML)

July 21–27, 2024

Vienna, Austria

Papers: Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies; Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression; TrustLLM: Trustworthiness in Large Language Models; PAGER: Accurate Failure Characterization in Deep Regression Models

International Joint Conference on Artificial Intelligence (IJCAI)

August 3–5, 2024

Jeju Island, South Korea

AI for Critical Infrastructure Workshop: Felipe Leno da Silva, Ruben Glatt

SPIE Optics + Photonics, Applications of Machine Learning Conference

August 18–22, 2024

San Diego, CA

Planning committee: Mike Zelinski, Cindy Gonzales

European Conference on Computer Vision (ECCV)

September 29–October 4, 2024

Milan, Italy

Paper: one accepted (title coming soon)

3rd World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2025)

June 15–19, 2025

Anaheim, CA

Committee: Youngsoo Choi

Past Events

Conference on Machine Learning and Systems (MLSys)

May 13–16, 2024

Santa Clara, CA

Paper: Q-Hitter: a better token oracle for efficient LLM inference via sparse-quantized KV cache

International Conference on Learning Representations (ICRL)

May 7–11, 2024

Vienna, Austria

Papers: DeepZero: scaling up zeroth-order optimization for deep model training; NEFTune: noisy embeddings improve instruction finetuning; Scaling compute is not all you need for adversarial robustness; Accurate and scalable estimation of epistemic uncertainty for graph neural networks

Women in Data Science (WiDS) Datathon & Livermore Conference

February 28 & March 13, 2024

Livermore, CA

Host: LLNL

SIAM Conference on Uncertainty Quantification (UQ24)

February 27 – March 1, 2024

Trieste, Italy

Sessions: Uncertainty Quantification, Robustness, and Trustworthiness in Foundation Models for Scientific Research and Beyond, Parts I and II; Why One Single Surrogate Model Cannot Be Used for All Applications

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

January 4–8, 2024

Waikoloa, HI

Poster: On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization