Srinivasan, Ashwin

37 publications

MLJ 2025 A Model for Intelligible Interaction Between Agents That Predict and Explain A. Baskar, Ashwin Srinivasan, Michael Bain, Enrico W. Coiera

MLJ 2024 Composition of Relational Features with an Application to Explaining Black-Box Predictors Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah

AAAI 2024 Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri

MLJ 2022 Inclusion of Domain-Knowledge into GNNs Using Mode-Directed Inverse Entailment Tirtharaj Dash, Ashwin Srinivasan, A. Baskar

MLJ 2022 Learning Explanations for Biological Feedback with Delays Using an Event Calculus Ashwin Srinivasan, Michael Bain, A. Baskar

AAAI 2022 Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract) Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

MLJ 2021 Incorporating Symbolic Domain Knowledge into Graph Neural Networks Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig

MLJ 2020 Constructing Generative Logical Models for Optimisation Problems Using Domain Knowledge Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff

CVPRW 2020 Information Extraction from Document Images via FCA Based Template Detection and Knowledge Graph Rule Induction Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan

JMLR 2019 Logical Explanations for Deep Relational Machines Using Relevance Information Ashwin Srinivasan, Lovekesh Vig, Michael Bain

MLJ 2018 Consensus-Based Modeling Using Distributed Feature Construction with ILP Haimonti Dutta, Ashwin Srinivasan

MLJ 2018 Identification of Biological Transition Systems Using Meta-Interpreted Logic Programs Michael Bain, Ashwin Srinivasan

MLJ 2017 An Empirical Study of On-Line Models for Relational Data Streams Ashwin Srinivasan, Michael Bain

MLJ 2016 ILP-Assisted De Novo Drug Design Rama Kaalia, Ashwin Srinivasan, Amit Kumar, Indira Ghosh

MLJ 2012 Data and Task Parallelism in ILP Using MapReduce Ashwin Srinivasan, Tanveer A. Faruquie, Sachindra Joshi

MLJ 2012 ILP Turns 20 - Biography and Future Challenges Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan

JMLR 2011 Parameter Screening and Optimisation for ILP Using Designed Experiments Ashwin Srinivasan, Ganesh Ramakrishnan

MLJ 2009 An Investigation into Feature Construction to Assist Word Sense Disambiguation Lucia Specia, Ashwin Srinivasan, Sachindra Joshi, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes

MLJ 2009 Parallel ILP for Distributed-Memory Architectures Nuno A. Fonseca, Ashwin Srinivasan, Fernando M. A. Silva, Rui Camacho

JMLR 2008 Incremental Identification of Qualitative Models of Biological Systems Using Inductive Logic Programming Ashwin Srinivasan, Ross D. King

JAIR 2008 Qualitative System Identification from Imperfect Data George Macleod Coghill, Ashwin Srinivasan, Ross D. King

MLJ 2006 Guest Editorial Rui Camacho, Ross D. King, Ashwin Srinivasan

MLJ 2006 Quantitative Pharmacophore Models with Inductive Logic Programming Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King

MLJ 2006 Randomised Restarted Search in ILP Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.

ICML 2005 Multi-Instance Tree Learning Hendrik Blockeel, David Page, Ashwin Srinivasan

JMLR 2003 An Empirical Study of the Use of Relevance Information in Inductive Logic Programming Ashwin Srinivasan, Ross D. King, Michael E. Bain

JMLR 2003 ILP: A Short Look Back and a Longer Look Forward David Page, Ashwin Srinivasan

JMLR 2003 Query Transformations for Improving the Efficiency of ILP Systems Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer

MLJ 2001 Extracting Context-Sensitive Models in Inductive Logic Programming Ashwin Srinivasan

ICML 2000 Discovering the Structure of Partial Differential Equations from Example Behaviour Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan

ICML 2000 Learning Chomsky-like Grammars for Biological Sequence Families Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan

ECML-PKDD 2000 Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan

IJCAI 1999 An Assessment of Submissions Made to the Predictive Toxicology Evaluation Challenge Ashwin Srinivasan, Ross D. King, Douglas W. Bristol

MLJ 1998 Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL Paul W. Finn, Stephen H. Muggleton, David Page, Ashwin Srinivasan

IJCAI 1997 The Predictive Toxicology Evaluation Challenge Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg

AAAI 1993 Generating Explicit Orderings for Non-Monotonic Logics James Cussens, Anthony Hunter, Ashwin Srinivasan

ICML 1992 Compression, Significance, and Accuracy Stephen H. Muggleton, Ashwin Srinivasan, Michael Bain