Navratil, Jiri

10 publications

NeurIPS 2024 Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross

ICMLW 2024 Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross

ICML 2024 Larimar: Large Language Models with Episodic Memory Control Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurelie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jiri Navratil, Soham Dan, Pin-Yu Chen

AISTATS 2024 Learning Granger Causality from Instance-Wise Self-Attentive Hawkes Processes Dongxia Wu, Tsuyoshi Ide, Georgios Kollias, Jiri Navratil, Aurelie Lozano, Naoki Abe, Yian Ma, Rose Yu

ICML 2024 Risk Aware Benchmarking of Large Language Models Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jarret Ross

NeurIPSW 2023 Risk Assessment and Statistical Significance in the Age of Foundation Models Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jarret Ross

AAAI 2021 Anomaly Attribution with Likelihood Compensation Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe

AAAI 2021 Learning Prediction Intervals for Model Performance Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil

AISTATS 2019 Confidence Scoring Using Whitebox Meta-Models with Linear Classifier Probes Tongfei Chen, Jiri Navratil, Vijay Iyengar, Karthikeyan Shanmugam

CVPRW 2009 Audio-Visual Speech Synchronization Detection Using a Bimodal Linear Prediction Model Kshitiz Kumar, Jirí Navrátil, Etienne Marcheret, Vit Libal, Ganesh N. Ramaswamy, Gerasimos Potamianos