Participatory Budget Formation Through the Web. - Jesus Rios; David Ríos Insua; Eugenio Fernández; J. A. Rivero (TCGOV, 2005)

Quixote: Supporting Group Decisions Through the Web. - J. A. Rubio; David Ríos Insua; Jesus Rios; Eugenio Fernández (TCGOV, 2005)

Experimental research on bilateral negotiations. - Jesus Rios; Stefan Strecker; JinBeak Kim; Simone A. Ludwig; Eva Chen (Negotiation and Market Engineering, 2006)

Towards decision support for participatory democracy. - David Ríos Insua; Gregory E. Kersten; Jesus Rios; Carlos Grima (Inf. Syst. E Bus. Manag., 2008)

A framework for participatory budget elaboration support. - Jesus Rios; David Ríos Insua (J. Oper. Res. Soc., 2008)

Adversarial Risk Analysis: Applications to Basic Counterterrorism Models. - Jesus Rios; David Ríos Insua (ADT, 2009)

Supporting Negotiations over Influence Diagrams. - Jesus Rios; David Ríos Insua (Decis. Anal., 2009)

A Study on Preference Impartation and Decision Support in E-Negotiation. - Gregory E. Kersten; Eva Chen; Jesus Rios; Stefan Strecker (HICSS, 2010)

The Impact of Analytical Support and Preference Determination on Consistency in E-Negotiations - a New Method and Preliminary Results. - Michael Filzmoser; Jesus Rios; Stefan Strecker; Rudolf Vetschera (Int. J. Inf. Technol. Decis. Mak., 2010)

Adversarial Risk Analysis: The Somali Pirates Case. - Juan Carlos Sevillano; David Ríos Insua; Jesus Rios (Decis. Anal., 2012)

A framework for strategic financial risk management. - Jesus Rios; Konstantin Anikeev; M. J. Richard; Shubir Kapoor; Bonnie K. Ray; Christian Toft-Nielsen; Dharmashankar Subramanian; Chen Jiang; Youssef Drissi; Jing Fu (IBM J. Res. Dev., 2014)

Optimal Sequential Drilling for Hydrocarbon Field Development Planning. - Ruben Rodriguez Torrado; Jesus Rios; Gerald Tesauro (AAAI, 2017)

A cognitive assistant for risk identification and modeling. - Dharmashankar Subramanian; Debarun Bhattacharjya; Ruben Rodriguez Torrado; Jeffrey O. Kephart; Vijil Chenthamarakshan; Jesus Rios (IEEE BigData, 2017)

Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. - Jirí Navrátil 001; Alan King; Jesus Rios; Georgios Kollias; Ruben Rodriguez Torrado; Andrés Codas (CoRR, 2019)

Insider threat modeling: An adversarial risk analysis approach. - Chaitanya Joshi; David Ríos Insua; Jesus Rios (CoRR, 2019)

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. - Jirí Navrátil 001; Alan King; Jesus Rios; Georgios Kollias; Ruben Rodriguez Torrado; Andrés Codas (Frontiers Big Data, 2019)

Combinatorial Black-Box Optimization with Expert Advice. - Hamid Dadkhahi; Karthikeyan Shanmugam; Jesus Rios; Payel Das; Samuel C. Hoffman; Troy David Loeffler; Subramanian Sankaranarayanan (KDD, 2020)

Localizing and Explaining Faults in Microservices Using Distributed Tracing. - Jesus Rios; Saurabh Jha; Laura Shwartz (CLOUD, 2022)

Fourier Representations for Black-Box Optimization over Categorical Variables. - Hamid Dadkhahi; Jesus Rios; Karthikeyan Shanmugam; Payel Das (AAAI, 2022)

A fault injection platform for learning AIOps models. - Frank Bagehorn; Jesus Rios; Saurabh Jha; Robert Filepp; Larisa Shwartz; Naoki Abe; Xi Yang (ASE, 2022)

Fault Injection Based Interventional Causal Learning for Distributed Applications. - Qing Wang 016; Jesus Rios; Saurabh Jha; Karthikeyan Shanmugam; Frank Bagehorn; Xi Yang; Robert Filepp; Naoki Abe; Larisa Shwartz (AAAI, 2023)

Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. - Saurabh Jha; Jesus Rios; Naoki Abe; Frank Bagehorn; Laura Shwartz (DSN-S, 2024)

ComVas: Contextual Moral Values Alignment System. - Inkit Padhi; Pierre L. Dognin; Jesus Rios; Ronny Luss; Swapnaja Achintalwar; Matthew Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (IJCAI, 2024)

Contextual Moral Value Alignment Through Context-Based Aggregation. - Pierre L. Dognin; Jesus Rios; Ronny Luss; Inkit Padhi; Matthew D. Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (CoRR, 2024)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Pierre L. Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001 (CoRR, 2024)

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. - Swapnaja Achintalwar; Ioana Baldini; Djallel Bouneffouf 001; Joan Byamugisha; Maria Chang 001; Pierre L. Dognin; Eitan Farchi; Ndivhuwo Makondo; Aleksandra Mojsilovic; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Inkit Padhi; et al. (IEEE Internet Comput., 2024)

Contextual Value Alignment. - Pierre Dognin; Jesus Rios; Ronny Luss; Prasanna Sattigeri; Miao Liu 001; Inkit Padhi; Matthew Riemer; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (ICASSP, 2025)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Kush R. Varshney; Eitan Farchi; Pierre Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001; Prasanna Sattigeri (NAACL (Long Papers), 2025)

Sparsity May Be All You Need: Sparse Random Parameter Adaptation. - Jesus Rios; Pierre L. Dognin; Ronny Luss; Karthikeyan Ramamurthy (CoRR, 2025)

Causal AI-based Root Cause Identification: Research to Practice at Scale. - Saurabh Jha; Ameet Rahane; Laura Shwartz; Marc Palaci-Olgun; Frank Bagehorn; Jesus Rios; Dan Stingaciu; Ragu Kattinakere; Debasish Banerjee (CoRR, 2025)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training. - Youssef Mroueh; Nicolas Dupuis; Brian Belgodere; Apoorva Nitsure; Mattia Rigotti; Kristjan H. Greenewald; Jirí Navrátil 001; Jerret Ross; Jesus Rios (CoRR, 2025)