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Ronny Luss

19 papers · 2007–2025 · 8 venues · across top CS/AI venues

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Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Full πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🧭 Keyword Pioneer πŸ† Keyword Champion 🌟 Keyword Trendsetter Combo (6) πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (91)

Venues

NeurIPS (4) EMNLP (3) ICLR (3) AAAI (2) ACL (2) ICML (2) IJCAI (2) JMLR (1)

Top co-authors

Amit Dhurandhar (10) Karthikeyan Shanmugam (6) Pin-Yu Chen (4) Prasanna Sattigeri (4) Debarun Bhattacharjya (3) Achille Fokoue (3) Kush R. Varshney (3) Dennis Wei (3) Karthikeyan Natesan Ramamurthy (2) Vijay Arya (2)

Research topics

Machine Learning (13) Artificial Intelligence (12) Core AI (10) Core Methods (8) Deep Learning (6) Architectures (5) Learning Types (5) Application Areas (4) Optimization & Theory Β· Machine Learning (4) Natural Language Processing (3) Learning Paradigms (3) Mathematics & Optimization (2) Generation (2) Optimization (2) Optimization & Theory Β· Deep Learning (2)

Keywords

model interpretability (3) explainable ai (3) transfer learning (3) convex optimization (2) knowledge distillation (2) feature attribution (2) neural network (2) contrastive explanation (2) interpretable model (2) large language model (2) sparse training (2) natural language processing (1) semi-supervised learning (1) text classification (1) classification (1) reinforcement learning (1) neural network pruning (1) domain adaptation (1) contrastive learning (1) robust classification (1)

Papers

Multi-Level Explanations for Generative Language Models ACL 2025 Shedding Light on Time Series Classification using Interpretability Gated Networks ICLR 2025 Sparsity May Be All You Need: Sparse Random Parameter Adaptation EMNLP 2025 ComVas: Contextual Moral Values Alignment System IJCAI 2024 NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024 Local Explanations for Reinforcement Learning AAAI 2023 Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models IJCAI 2023 Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge EMNLP 2023 Weighted Clock Logic Point Process ICLR 2023 AI Explainability 360: Impact and Design AAAI 2022 Auto-Transfer: Learning to Route Transferable Representations ICLR 2022 Let the CAT out of the bag: Contrastive Attributed explanations for Text EMNLP 2022 AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models JMLR 2020 Enhancing Simple Models by Exploiting What They Already Know ICML 2020 Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019 Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives NeurIPS 2018 Improving Simple Models with Confidence Profiles NeurIPS 2018 Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007