• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 84 matches

• 2024
• 
  Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young:
  Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(4): 773-788 (2024)
• 
  Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu:
  Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. AISTATS 2024: 415-423
• 
  Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen:
  Larimar: Large Language Models with Episodic Memory Control. ICML 2024
• 
  Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross:
  Risk Aware Benchmarking of Large Language Models. ICML 2024
• 
  Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jarret Ross:
  Distributional Preference Alignment of LLMs via Optimal Transport. NeurIPS 2024
• 
  Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu:
  Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. CoRR abs/2402.03726 (2024)
• 
  Conor M. Artman, Aditya Mate, Ezinne Nwankwo, Aliza Heching, Tsuyoshi Idé, Jirí Navrátil, Karthikeyan Shanmugam, Wei Sun, Kush R. Varshney, Lauri Goldkind, Gidi Kroch, Jaclyn Sawyer, Ian Watson:
  A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food. CoRR abs/2403.10638 (2024)
• 
  Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen:
  Larimar: Large Language Models with Episodic Memory Control. CoRR abs/2403.11901 (2024)
• 
  Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross:
  Distributional Preference Alignment of LLMs via Optimal Transport. CoRR abs/2406.05882 (2024)
• 2023
• 
  Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young:
  Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR abs/2304.10819 (2023)
• 
  Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri:
  Assessment of Prediction Intervals Using Uncertainty Characteristics Curves. CoRR abs/2310.03158 (2023)
• 
  Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross:
  Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR abs/2310.07132 (2023)
• 2022
• 
  Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang:
  Uncertainty Quantification 360: A Hands-on Tutorial. COMAD/CODS 2022: 333-335
• 
  Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe:
  Anomaly Attribution with Likelihood Compensation. CoRR abs/2208.10679 (2022)
• 2021
• 
  Petr Kuberský, Jirí Navrátil, Tomás Syrový, Petr Sedlák, Stanislav Nespurek, Ales Hamácek:
  An Electrochemical Amperometric Ethylene Sensor with Solid Polymer Electrolyte Based on Ionic Liquid. Sensors 21(3): 711 (2021)
• 
  Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil:
  Learning Prediction Intervals for Model Performance. AAAI 2021: 7305-7313
• 
  Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe:
  Anomaly Attribution with Likelihood Compensation. AAAI 2021: 4131-4138
• 
  Tomás Vicar, Jaromir Gumulec, Radim Kolár, Jirí Chmelík, Jiri Navratil, Larisa Chmelíková, Vratislav Cmiel, Ivo Provazník, Michal Masarik:
  Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. EMBC 2021: 439-442
• 
  Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri:
  Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals. CoRR abs/2106.00858 (2021)
• 
  Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang:
  Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI. CoRR abs/2106.01410 (2021)
• 2020
• 
  Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jirí Navrátil, Darrell Reimer:
  Towards Automating the AI Operations Lifecycle. CoRR abs/2003.12808 (2020)
• 
  Jirí Navrátil, Matthew Arnold, Benjamin Elder:
  Uncertainty Prediction for Deep Sequential Regression Using Meta Models. CoRR abs/2007.01350 (2020)
• 
  Begum Taskazan, Jirí Navrátil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder:
  Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing. CoRR abs/2007.05499 (2020)
• 
  Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil:
  Learning Prediction Intervals for Model Performance. CoRR abs/2012.08625 (2020)
• 2019
• 
  Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
  Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. Frontiers Big Data 2: 33 (2019)
• 
  Tongfei Chen, Jirí Navrátil, Vijay S. Iyengar, Karthikeyan Shanmugam:
  Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes. AISTATS 2019: 1467-1475
• 
  Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
  Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. CoRR abs/1906.01510 (2019)
• 2018
• 
  Tongfei Chen, Jirí Navrátil, Vijay S. Iyengar, Karthikeyan Shanmugam:
  Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes. CoRR abs/1805.05396 (2018)
• 2017
• 
  Pavel Peterka, Pavel Honzátko, Jan Aubrecht, Petr Navratil, Pavel Koska, Filip Todorov, Ondrej Podrazký, Jirí Ctyroký, Ivan Kasík:
  Self-sweeping of laser wavelength and associated mode instabilities in fiber lasers. ICTON 2017: 1-4
• 
  Rishav Chakravarti, Jirí Navrátil, Cícero Nogueira dos Santos:
  Improved Answer Selection with Pre-Trained Word Embeddings. CoRR abs/1708.04326 (2017)

skipping 54 more matches