Pre-NeurIPS poster session Accepted papers Title Authors How to Turn Your Knowledge Graph Embeddings into Generative Models NeurIPS Presentation type: Oral Session: Oral 1C Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NeurIPS Presentation type: Poster Session: Poster session 6 Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini Adapting Neural Link Predictors for Data-Efficient Complex Query Answering NeurIPS Presentation type: Poster Erik Arakelyan*, Pasquale Minervini*, Daniel Daza, Michael Cochez, Isabelle Augenstein No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS Presentation type: Poster Jean Kaddour*, Oscar Key*, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner Active Learning-Based Species Range Estimation NeurIPS Presentation type: Poster Session: Poster session 3 Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data NeurIPS Presentation type: Poster Session: Poster session 6 Vaidotas Simkus, Benjamin Rhodes, Michael Gutmann Fast Approximation of Similarity Graphs with Kernel Density Estimation NeurIPS Presentation type: Spotlight Session: Poster session 2 Peter Macgregor, He Sun Fast and Simple Spectral Clustering in Theory and Practice NeurIPS Presentation type: Poster Session: Poster session 3 Peter Macgregor A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NeurIPS Presentation type: Poster Session: Poster session 4 Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette ten Teije Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps NeurIPS Presentation type: Workshop Session: Workshop on Diffusion Models Miguel Espinosa, Elliot J. Crowley Local LoRA: Memory-Efficient Fine-Tuning of Large Language Models NeurIPS Presentation type: Workshop Oscar Key, Jean Kaddour, Pasquale Minervini Data-driven Prior Learning for Bayesian Optimisation NeurIPS Presentation type: Workshop Session: Adaptive Experimental Design and Active Learning in the Real World Sigrid Passano Hellan, Christopher Lucas, Nigel Goddard Neurosymbolic AI Reveals Biases and Limitations in ML-Driven Drug Discovery NeurIPS Presentation type: Workshop Session: New Frontiers of AI for Drug Discovery and Development Lauren DeLong, Yojana Gadiya, Jacques D. Fleuriot, Daniel Domingo-Fernández Multi-Head Adapter Routing for Cross-Task Generalization NeurIPS Presentation type: Poster Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni Low Tensor Rank Learning of Neural Dynamics NeurIPS Presentation type: Poster Session: Poster session 4 Arthur Pellegrino, N Alex Cayco-Gajic, Angus Chadwick Scaling Down Multilingual Language Models of Code NeurIPS Presentation type: Workshop Session: NAML - North Africans in Machine Learning Ammar Khairi How the level sampling process impacts zero-shot generalisation in deep reinforcement learning NeurIPS Presentation type: Workshop Session: Agent Learning in Open-Endedness (ALOE) Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht Dec 08 2023 11.00 - 17.00 Pre-NeurIPS poster session A chance for anyone who has a paper accepted at NeurIPS 2023, including workshops, to showcase their research and train for the notoriously challenging poster sessions at NeurIPS! This will be an opportunity for Edinburgh ELLIS Unit members to socialise, and for Machine Learning staff to see what other researchers are doing. Informatics Forum 10 Crichton Street Edinburgh EH8 9AB Link to NeurIPS website
Pre-NeurIPS poster session Accepted papers Title Authors How to Turn Your Knowledge Graph Embeddings into Generative Models NeurIPS Presentation type: Oral Session: Oral 1C Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NeurIPS Presentation type: Poster Session: Poster session 6 Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini Adapting Neural Link Predictors for Data-Efficient Complex Query Answering NeurIPS Presentation type: Poster Erik Arakelyan*, Pasquale Minervini*, Daniel Daza, Michael Cochez, Isabelle Augenstein No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS Presentation type: Poster Jean Kaddour*, Oscar Key*, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner Active Learning-Based Species Range Estimation NeurIPS Presentation type: Poster Session: Poster session 3 Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data NeurIPS Presentation type: Poster Session: Poster session 6 Vaidotas Simkus, Benjamin Rhodes, Michael Gutmann Fast Approximation of Similarity Graphs with Kernel Density Estimation NeurIPS Presentation type: Spotlight Session: Poster session 2 Peter Macgregor, He Sun Fast and Simple Spectral Clustering in Theory and Practice NeurIPS Presentation type: Poster Session: Poster session 3 Peter Macgregor A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NeurIPS Presentation type: Poster Session: Poster session 4 Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette ten Teije Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps NeurIPS Presentation type: Workshop Session: Workshop on Diffusion Models Miguel Espinosa, Elliot J. Crowley Local LoRA: Memory-Efficient Fine-Tuning of Large Language Models NeurIPS Presentation type: Workshop Oscar Key, Jean Kaddour, Pasquale Minervini Data-driven Prior Learning for Bayesian Optimisation NeurIPS Presentation type: Workshop Session: Adaptive Experimental Design and Active Learning in the Real World Sigrid Passano Hellan, Christopher Lucas, Nigel Goddard Neurosymbolic AI Reveals Biases and Limitations in ML-Driven Drug Discovery NeurIPS Presentation type: Workshop Session: New Frontiers of AI for Drug Discovery and Development Lauren DeLong, Yojana Gadiya, Jacques D. Fleuriot, Daniel Domingo-Fernández Multi-Head Adapter Routing for Cross-Task Generalization NeurIPS Presentation type: Poster Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni Low Tensor Rank Learning of Neural Dynamics NeurIPS Presentation type: Poster Session: Poster session 4 Arthur Pellegrino, N Alex Cayco-Gajic, Angus Chadwick Scaling Down Multilingual Language Models of Code NeurIPS Presentation type: Workshop Session: NAML - North Africans in Machine Learning Ammar Khairi How the level sampling process impacts zero-shot generalisation in deep reinforcement learning NeurIPS Presentation type: Workshop Session: Agent Learning in Open-Endedness (ALOE) Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht Dec 08 2023 11.00 - 17.00 Pre-NeurIPS poster session A chance for anyone who has a paper accepted at NeurIPS 2023, including workshops, to showcase their research and train for the notoriously challenging poster sessions at NeurIPS! This will be an opportunity for Edinburgh ELLIS Unit members to socialise, and for Machine Learning staff to see what other researchers are doing. Informatics Forum 10 Crichton Street Edinburgh EH8 9AB Link to NeurIPS website
Dec 08 2023 11.00 - 17.00 Pre-NeurIPS poster session A chance for anyone who has a paper accepted at NeurIPS 2023, including workshops, to showcase their research and train for the notoriously challenging poster sessions at NeurIPS! This will be an opportunity for Edinburgh ELLIS Unit members to socialise, and for Machine Learning staff to see what other researchers are doing.
