Ronny Luss
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
13
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Multi-Level Explanations for Generative Language Models. | Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh |
| 2025 | EMNLP | Sparsity May Be All You Need: Sparse Random Parameter Adaptation. | Jesus Rios, Pierre L. Dognin, Ronny Luss, Karthikeyan Natesan Ramamurthy |
| 2025 | ICASSP | Contextual Value Alignment. | Pierre L. Dognin, Jesus Rios, Ronny Luss, Prasanna Sattigeri, Miao Liu, Inkit Padhi, Matthew Riemer, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf |
| 2025 | ICLR | Shedding Light on Time Series Classification using Interpretability Gated Networks. | Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius |
| 2024 | ACL | NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. | Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurlie C. Lozano, Payel Das, Georgios Kollias |
| 2024 | IJCAI | ComVas: Contextual Moral Values Alignment System. | Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf |
| 2023 | AAAI | Local Explanations for Reinforcement Learning. | Ronny Luss, Amit Dhurandhar, Miao Liu |
| 2023 | EMNLP | Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. | Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian |
| 2023 | ICLR | Weighted Clock Logic Point Process. | Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius |
| 2023 | IJCAI | Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. | Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan |
| 2022 | AAAI | AI Explainability 360: Impact and Design. | Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang |
| 2022 | EMNLP | Let the CAT out of the bag: Contrastive Attributed explanations for Text. | Saneem A. Chemmengath, Amar Prakash Azad, Ronny Luss, Amit Dhurandhar |
| 2022 | HCOMP | Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI. | Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar |
| 2022 | ICLR | Auto-Transfer: Learning to Route Transferable Representations. | Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar |
| 2021 | COMAD | AI Explainability 360 Toolkit. | Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang |
| 2021 | KDD | Leveraging Latent Features for Local Explanations. | Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu |
| 2020 | ICML | Enhancing Simple Models by Exploiting What They Already Know. | Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss |
| 2019 | ICML | Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. | Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf |
| 2018 | DSAA | Detecting and Counting Panicles in Sorghum Images. | Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe |
| 2016 | UAI | Interpretable Policies for Dynamic Product Recommendations. | Marek Petrik, Ronny Luss |
| 2014 | ICDM | Orthogonal Matching Pursuit for Sparse Quantile Regression. | Aleksandr Y. Aravkin, Aurlie C. Lozano, Ronny Luss, Prabhanjan Kambadur |