Publications

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
- - Sharmishtha Dutta
  - Alex Gittens
  - et al.
- 2025
- AAAI 2025
Conference paper
Retention Score: Quantifying Jailbreak Risks for Vision Language Models
- - Zaitang Li
  - Pin-Yu Chen
  - et al.
- 2025
- AAAI 2025
Conference paper
Interventional Causal Discovery in a Mixture of DAGs
- - Burak Varici
  - Dmitriy Katz-Rogozhnikov
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Distributional Preference Alignment of LLMs via Optimal Transport
- - Igor Melnyk
  - Youssef Mroueh
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- - Gabriel Rioux
  - Apoorva Nitsure
  - et al.
- 2024
- NeurIPS 2024
Conference paper
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
Conference paper
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services
- - Gosia Lazuka
  - Andreea Simona Anghel
  - et al.
- 2024
- SC 2024
Conference paper
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
- - Shaoze Fan
  - Haoshu Lu
  - et al.
- 2024
- DAC 2024
Conference paper
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses
- - Vraj Shah
  - Thomas Parashos
  - et al.
- 2024
- VLDB 2024
Conference paper
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2024
- ICML 2024
Conference paper