Publications

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- - Vijay E
  - Arindam Jati
  - et al.
- 2024
- NeurIPS 2024
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
- - Shaoze Fan
  - Haoshu Lu
  - et al.
- 2024
- DAC 2024
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses
- - Vraj Shah
  - Thomas Parashos
  - et al.
- 2024
- VLDB 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- - Kai Xu
  - Hong Ge
- 2024
- ICML 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2024
- ICML 2024
Latent Space Symmetry Discovery
- - Jianke Yang
  - Nima Dehmamy
  - et al.
- 2024
- ICML 2024
A Practical Near Optimal Deployment of Service Function Chains in Edge-to-Cloud Networks
- - Rasoul Behravesh
  - David Breitgand
  - et al.
- 2024
- INFOCOM 2024
Automated Synthesis of Effect Graph Policies for Microservice-Aware Stateful System Call Specialization
- - Will Blair
  - Fred Araujo
  - et al.
- 2024
- S&P 2024
RELIC: Investigating Large Language Model Responses using Self-Consistency
- - Furui Cheng
  - Vilém Zouhar
  - et al.
- 2024
- CHI 2024
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024