Seminars
208 seminars and lab meetings, newest first.
2024
2023
- [Nov 15th 2023] Applications of Large Language Models in the field of education
- External Seminar On Bayesian Inference and Generative Models for Wireless Communication Algorithms Organised by prof. Andrea Abrardo [Apr 12th, 2023 – 10:00 – 13:00 AM]
- [Apr 5th 2023] The expressive power of pooling in Graph Neural Networks
- [Mar 29th 2023] Learning Identity Effects with Graph Neural Networks
- [Mar 22th 2023] LabMeeting: RandomWalk Graph Neural Networks
- [Mar 1th 2023] LabMeeting: Forward Approximate Solution for Linear Quadratic Tracking
- [Feb 22th 2023] LabMeeting: Template based Graph Neural Network with Optimal Transport Distances
- [Feb 15th 2023] LabMeeting: Diffusion-based semantic image editing with mask guidance
- [Feb 15th 2023] LabMeeting: WebCrowDE – Automated German Crossword resolution
- [Feb 8th 2023] LabMeeting: FEENI – FEature Encoding for Neoepitope-induced Immune response prediction
2022
- [Dec 7th 2022] LabMeeting: SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
- [Nov 23th 2022] LabMeeting: Physics Informed Neural Networks for generation of structured grids on bounded domains
- [Nov 9th 2022] LabMeeting: Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph of Graphs Domain
- [Nov 9th 2022] LabMeeting: PARTIME: Scalable Multi-GPU Pipeline Parallelism
- [Nov 2nd 2022] LabMeeting: Weighted simplicial complexes and their representation power of higher-order network data and topology
- [Oct 19th 2022] LabMeeting: TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
- [Oct 12th 2022] LabMeeting: A Deep Learning approach for oocytes segmentation and analysis
- [Oct 12th 2022] LabMeeting: Lifelong Learning of Graph Neural Networks for Open-World Node Classification
- [Sep 28th 2022] LabMeeting: Continual Learning: an Optimal Control approach
- [Sep 21st 2022] LabMeeting: Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging
- [Sep 14th 2022] LabMeeting: On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs
- [Sep 14th 2022] LabMeeting: Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of Graph Neural Network for Attributed and Dynamic Graphs
- [Jun 29th 2022] LabMeeting: Learning to Prompt for Continual Learning
- [Jun 8th 2022] LabMeeting: 1-Lipschitz Neural Networks: a splines-based approach
- [Jun 1st 2022] LabMeeting: Neural dynamic in temporal environments
- [May 25th 2022] LabMeeting: Pipeline Parallelism for Real-time Online Learning
- [May 18th 2022] LabMeeting: DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
- [May 11th 2022] LabMeeting: An introduction to higher order networks and simplicial complexes
- [May 4th 2022] LabMeeting: NMRNet: a deep learning approach to automated peak picking of protein NMR spectra
- [Apr 20th 2022] LabMeeting: How good is my GAN?
- [Apr 13th 2022] LabMeeting: Mixture models
- [Apr 6th 2022] LabMeeting: Swim: a computational tool to unveiling crucial nodes in complex biological networks.
- [Mar 27th 2022] Unisi-IA Seminar: Innovazione in intelligenza artificiale: oltre la black box e la death valley.
- [Mar 9th 2022] LabMeeting: Modular multi-source prediction of drug side-effects with DruGNN
- [Mar 2nd 2022] LabMeeting: Knowledge-driven Active Learning
- [Feb 16th 2022] LabMeeting: Optical Flow: history, state of the art and ongoing work
- [Feb 9th 2022] LabMeeting: A Mixed Statistical and Machine Learning approach for the Analysis of Multimodal Trail Making Test Data
- [Feb 2nd 2022] LabMeeting: DyRep: Learning Representations over Dynamic Graphs
- [Feb 2nd 2022] LabMeeting: The expressive power of Graph Neural Networks – A unifying point of view
- [Jan 19th 2022] LabMeeting: Learning invariant features from video streams: an optimal control approach
- [Jan 12th 2022] LabMeeting: Using Domain-Specific Fingerprints Generated Through Neural Networks to Enhance Ligand-Based Virtual Screening
2021
- [Dec 22nd 2021] LabMeeting: AGENT: A Benchmark for Core Psychological Reasoning
- [Dec 15th 2021] LabMeeting: Entropy-based Logic Explanations of Neural Networks
- [Dec 9th 2021] LabMeeting: An Example of Reinforcement Learning in Finance
- [Nov 24th 2021] LabMeeting: Siamese neural networks for the alignment of Coronavirus protein sequences
- [Nov 24th 2021] LabMeeting: Trucks as sensors: classification and mapping of abandoned waste by Deep Learning and embedded mobile computing
- [Nov 22nd 2021] LabMeeting: NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
- [Nov 10th 2021] LabMeeting: Copy Number Variants Detection from Whole Exome Sequencing Data Using Machine Learning Techniques
- [Nov 3rd 2021] LabMeeting:Weighted matrix means for computing the barycenter of multiplex similarity networks
- [Oct 27th 2021] LabMeeting: Explainable Machine Learning for Trustworthy AI
- [Oct 20th 2021] LabMeeting: Continuous learning in video streams exploiting attention trajectory
- [Oct 13th 2021] LabMeeting: A comprehensive Deep Learning-based approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs
- [Oct 5th 2021] LabMeeting: Neural Ordinary Differential Equation
- [Sep 29th 2021] LabMeeting: Learning Representations for Sub-Symbolic Reasoning
- [Sep 22nd 2021] LabMeeting: Trustworthy and Explainable Artificial Intelligence: an application to complex genetic diseases
- [Sep 8th 2021] LabMeeting: Entropy-based Logic Explanations of Neural Networks
- [Sep 1st 2021] LabMeeting: Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens
- [Jul 27th 2021] LabMeeting: Continuous Action Spaces vs Discrete Action Spaces in Reinforcement Learning: a Practical Example
- [Jul 21st 2021] LabMeeting: Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: a patient-level classification framework
- [Jul 14th 2021] LabMeeting: Continual learning and catastrophic forgetting, a general overview
- [Jul 7th 2021] LabMeeting: Hyper-SAGNN, a self-attention based graph neural network for hypergraphs
- [Jun 30th 2021] LabMeeting: Generating Parametric 3D Virtual Environments For Learning
- [Jun 23th 2021] LabMeeting: CaregiverMatcher, graph neural networks for connecting caregivers of rare disease patients
- [Jun 16th 2021] LabMeeting: Advanced ML methods to understand the genetic mechanism of COVID-19 severity and multi-organ involvement
- [May 19th 2021] LabMeeting: Friendly Training
- [May 12th 2021] LabMeeting: Graph Dynamic Embedding
- [Apr 28th 2021] LabMeeting: Neural Probabilistic Logic Programming in DeepProbLog
- [Apr 21st 2021] LabMeeting: A Representer Theorem for Deep Neural Networks
- [Apr 14th 2021] LabMeeting: Incorporating network based protein complex discovery into automated model construction
- [Mar 31th 2021] LabMeeting: Logic Explainer Networks
- [Mar 24th 2021] LabMeeting: A precision medicine approach for patients treated with cannabinoids
- [Mar 17th 2021] LabMeeting: Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
- [Mar 10th 2021] LabMeeting: A multi-stage GAN for multi organ chest X-ray image generation and segmentation
- [Feb 24th 2021] LabMeeting: Scanpaths and their discriminative capabilities
- [Feb 10th 2021] LabMeeting: Differentiable Rendering and Adversarial Learning
- [Jan 27th 2021] LabMeeting: Mathematics of feature importance and logic constraints to feature importance
- [Jan 21th 2021] LabMeeting: Improved protein structure prediction using potentials from deep learning
- [Jan 13th 2021] LabMeeting: Backdooring deep learning architectures: Threats and some opportunities
2020
- [Dec 17th 2020] The Challenges of the Transition from Ai to ai
- [Dec 9th 2020] LabMeeting: Design and implementation of a novel system for robust speaker verification
- Link to LabMeetings
- [Dec 2nd 2020] LabMeeting: Learning Emotions from Constraints
- [Nov 25th 2020] LabMeeting: A comparative analysis of neural network models for the prediction of protein synthesis levels.
- [Nov 25th 2020] LabMeeting: LSTM for the prediction of the translation speed based on Ribosome Profiling
- [Nov 18th 2020] LabMeeting: Towards the determination of thresholds in neural networks
- [Nov 18th 2020] LabMeeting: Neural networks for processing heterogeneous graphs
- [Nov 11th 2020] LabMeeting: Linked Credibility Reviews for Explainable Misinformation Detection
- [Nov 11th 2020] LabMeeting: Robust Prostate Cancer Classification with Siamese Neural Network
- [Nov 4th 2020] LabMeeting: Introduction to Transformers
- [Oct 28th 2020] LabMeeting: Learning compositional representations for few-shot recognition
- [Oct 21th 2020] LabMeeting: SAAMBE-SEQ: A Sequence-based Method for Predicting Mutation Effect on Protein-protein Binding Affinity
- [Oct 7th 2020] LabMeeting: Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
- [Sep 23rd 2020] LabMeeting: Evaluating the impact of semantic features and domain knowledge on text categorization
- [Sep 30th 2020] LabMeeting: Imitation Learning – predicting goal-directed scanpaths
- [Sep 23th 2020] LabMeeting: Spectral Clustering with Graph Neural Networks for Graph Pooling
- [Sep 16th 2020] LabMeeting: SAILenv: Learning in Virtual Visual Environments Made Simple
- [Sep 2nd 2020] LabMeeting: Molecular graph generation with Graph Neural Networks
- [Jul 22nd 2020] LabMeeting: Partial Distance Correlation for Exploring Dependence Between Similarity Networks
- [Jul 15th 2020] LabMeeting: Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?
- [July 1st 2020] LabMeeting: Next Segment Prediction
- [July 8th 2020] LabMeeting: Generate and Revise:Reinforcement Learning in Neural Poetry
- [Jun 24th 2020] LabMeeting: mCSM-membrane: predicting the effects of mutations on transmembrane proteins
- [Jun 17th 2020] LabMeeting: Analyzing and Improving the Image Quality of StyleGAN
- [Jun 3rd 2020] LabMeeting: Wave Propagation of Visual Stimuli in Focus of Attention
- [May 27th 2020] LabMeeting: Prostate MRI Registration using Siamese Metric Learning
- [May 20th 2020] LabMeeting: Towards understanding glasses with graph neural networks
- [May 13th 2020] LabMeeting: Learning the Dynamic SIR Model: An Optimal Control Approach
- [May 6th 2020] LabMeeting: A workbench for the translational control of gene expression
- [Apr 29th 2020] LabMeeting: COVID-19 Italian and European pandemic: a SEIR model with undetected fraction and mobility-dependent transmission rate
- [Apr 22nd 2020] LabMeeting: A possible strategy to fight COVID-19:Interfering with spike glycoprotein trimerization.
- [Apr 15 2020] LabMeeting: On Mutual Information Maximization for Representation Learning
- [Mar 4th 2020] LabMeeting: Human-Driven FOL Explanations of Deep Learning
- [Feb 12th 2020] LabMeeting: Leela Zero Score: study of a Score based AlphaGo Zero
- [Feb 19th 2020] LabMeeting: The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data
- [Feb 19th 2020] LabMeeting: Embedding of FRPN in CNN architecture
- [Feb 12th 2020] Creating a Commonsense Knowledge Base about Objects
- [Feb 5th 2020] LabMeeting: Line-Based Automatic Sketches
- [Jan 29th 2020] LabMeeting: Learning in Text Streams, Discovery and Disambiguation of Entity and Relation Instances
- [Jan 22nd 2020] LabMeeting: Analyzing and Improving the Image Quality of StyleGAN
- [Jan 15th 2020] LabMeeting: Toward in silico Design of Rhodopsin Mutants by integrating Hybrid QM/MM and Machine Learning Approaches
- [Jan 8th 2020] LabMeeting: Deep Learning and the Renormalization Group
2019
- [Dec 18th 2019] LabMeeting: Toward the probabilistic modeling of sequences of generalized random graphs: a hybrid approach
- [Dec 11th 2019] LabMeeting: Network Analysis for the Integration of Histone Modification Data to Explain Haematopoiesis
- [Dec 4th 2019] LabMeeting: Graph Neural Network for the Prediction of Protein-Protein Interfaces
- [Nov 27th 2019] LabMeeting: Learning in Virtual Environments
- [Nov 20th 2019] LabMeeting: A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation
- [Nov 13th 2019] LabMeeting: Neural Text Degeneration
- [Nov 6th 2019] LabMeeting: Threat of Adversarial Attacks on Deep Learning in Computer Vision: a Survey
- [Oct 23rd 2019] Stability through Mutation in Evolutionary Games and Learning Dynamics
- [Oct 16th 2019] LabMeeting: Analysis of the transcriptome and traslatome in solid tumors using RNA-seq and Ribo-seq technologies
- [Oct 9th 2019] LabMeeting: Pseudo-Random Numbers Generation – a Reinforcement Learning approach
- [Sep 25th 2019] LabMeeting: Knowledge graphs for image classification and semantic navigation – from reality to virtual worlds
- [Sep 4th 2019] LabMeeting: Jointly Learning to Detect Emotions and Predict Facebook Reactions
- [Aug 28th 2019] A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns
- [Jul 31st 2019] LabMeeting: Multi-modal siamese network for diagnostically similar lesion retrieval in prostate MRI
- [Jul 24th 2019] LabMeeting: On the Role of Time in Learning
- [Jul 25th 2019] Learning to Recognize Actions in Videos
- [Jul 10th 2019] LabMeeting: ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
- [Jul 3rd 2019] LabMeeting: A Constraint-based Approach to Learning and Explanation
- [Jun 26th 2019] LabMeeting: Convolutional Networks with Adaptive Inference Graphs
- [Jun 12th 2019] LabMeeting: Neural Markov logic networks
- [May 29th 2019] LabMeeting: Autonomous Network Operation with Graph Neural Networks and Deep Reinforcement Learning
- [Jun 5th 2019] LabMeeting: Long-Short Term Memories for the identification of helical moieties in proteins
- [May 22nd 2019]: The Growing Curvilinear Component Analysis (GCCA) Neural Network
- [May 15th 2019]: An Introduction to Variational Autoencoders
- [May 8th 2019]: Atomic simulations of conduction across ion channels
- [Apr 17th 2019]: A probabilistic tour of visual attention and gaze shift computational models
- [Apr 3rd 2019] LabMeeting: Learning Scene Decomposition and Visual Graph Representation
- [Apr 3rd 2019]: Meaningful Explanations of Black Box AI Decision Systems
- [Mar 20th 2019] Lab Meeting: Towards laws of visual attention
- [Mar 28th 2019]: Jumping Finite Automata
- [Mar 13th 2019] Lab Meeting: Integrating Learning and Reasoning with Deep Logic Models
- [Mar 6th 2019] LabMeeting: A Deep Learning Models Comparison for Brain Age Estimation
- [Feb 27th 2019] LabMeeting: Supervision Generation for Scene Text Segmentation with Multiscale Attention Networks
- [Feb 20th 2019] Explaining the behavior of learning classification systems: a model agnostic approach
- [Feb 20th 2019] Increasing machine autonomy and ethics
- [Feb 5th 2019] LabMeeting: From architectural constraints to neural subsidiary conditions
- [Jan 30th 2019] Designing non-parametric activation functions: recent advances
- [Jan 23rd 2019] LabMeeting: Invertible conditional GANs
- [Jan 16th 2019] LabMeeting: Study of potential impact of copy number alterations of MAPK15 in High Grade Serous Ovarian Cancer
- [Jan 9th 2019] Developmental Learning with Constraints
- [Jan 9th 2019] LabMeeting: Automatic prediction of druggability for protein surface pockets
2018
- [Dec 17th 2018] Deep Graph Infomax
- [Dec 12th 2018] LabMeeting: How to extend GNNs: from changing the neuron model to transductive learning
- [Dec 12th 2018] Evolutionary Coresets and Machine Learning Epistemology
- [Dec 12th 2018] Neural Biclustering in Gene Expression Analysis
- [Dec 5th 2018] LabMeeting: Unity: A General Platform for Intelligent Agents
- [Nov 28th 2018] LabMeeting: Novel Neural Techniques for Gene Expression Analysis in Cancer Prognosis
- [Nov 21th 2018] LabMeeting: On confidence measures for deep learning in domain adaptation applications
- [Nov 14th 2018] LabMeeting: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
- [Oct 24th 2018] LabMeeting: Some Approaches to Learning of Logical Constraints
- [Oct 18th 2018] LabMeeting: Machine and Poetry: can computers learn to compose verses and tercets?
- [Oct 11th 2018] LabMeeting: Perfect Neuron Building
- [Oct 4th 2018] LabMeeting: On the notion of sparsity in neural networks
- [Oct 4th 2018] LabMeeting: A Simple Neural Network Module for Relational Reasoning
- [ Sept 13th 2018] LabMeeting: Emotion recognition from audio
- [ Sept 6th 2018] LabMeeting: Adversarial Reprogramming of Neural Networks
- [Jul 23th 2018] On stochastic gradient descent, flatness and generalization – Seminar by Prof. Yoshua Bengio
- [Jul 5th 2018] Lab Meeting: Generating images and supervision for semantic segmentation
- [Jun 28th 2018] LabMeeting: Learning with Architectural Constraints
- [ Jun 21st 2018] Lab Meeting: Loss functions generation by means of fuzzy aggregators
- [ Jun 14th 2018] Lab Meeting: A Character-Aware Neural Model to Learn Word and Context Representations
- [Jun 7th 2018] LabMeeting: Probabilistic Soft Logic
- [May 31st 2018] LabMeeting: Depth growing neural networks
- [May 24th 2018] LabMeeting: Geometric deep learning: dealing to structured data
- [May 28th 2018] Deep Learning of Barcode Sequences
- [May 17th 2018] LabMeeting: Coarse-to-Fine Q-Learning for Object Localisation on VHR Images
- [May 10th 2018] (Social) Network Analysis as a paradigm for knowledge extraction in various contexts
- [May 10th 2018] LabMeeting: DBox: Deep Learning for Bounding Box Supervision in Semantic Segmentation
- [May 3rd 2018] LabMeeting: Modeling stylized character expression via deep learning
- Seminar Postponed: Syntetic Data Generation for Semantic Segmentation
- [April 12th 2018] LabMeeting: Synthetic data generation for semantic segmentation
- [April 5th 2018] LabMeeting: Convolutional Networks in Visual Environments
- [March 29th 2018] LabMeeting: LogSCM – Logical Support Constraint Machines
- [March 22nd 2018] LabMeeting Extra: Excursus in the State of the art of object detection – Deep learning models, performance, practical tests
- [April 3rd, 2018] Trust your data or not – Standard remains Standard (QP); implications for robust clustering in social networks
- [March 22nd 2018] LabMeeting: Dialogue Generation from Structured Knowledge
- [March 15th, 2018] CLARE: a Constrained Learning And Reasoning Environment
- [March 8th, 2018] LabMeeting: Refinement of deep neural network learning via error-driven target propagation
- [April 18th, 2018] Deep Probabilistic Logic Programming (Fabrizio Riguzzi)
- Seminars postponed to March 2nd!
- [March 1st, 2018] LabMeeting: A fully recursive neural network architecture
- [March 1st, 2018] LabMeeting: An Overview of Semantic Image Segmentation with Deep Learning
- [February 8th, 2018] LabMeeting: Multimodal Emotion Analysis
- [February 1st, 2018] LabMeeting: Capsule Networks
- [February 28th, 2018] Deep Probabilistic Logic Programming
- [February 22th, 2018] Learning In The Wild: Beyond Stochastic Gradient Descent