Stanza: I-15b
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Area della Ricerca CNR di Pisa
Via G. Moruzzi 1
56124 PISA - Italy
email: gianluca.vannini@isti.cnr.it
Fax: +39 050 315 2810
Lista completa pubblicazioni: Clicca qui
Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...
Leggi tutto...While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...
Leggi tutto...In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...
Leggi tutto...Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...
Leggi tutto...Understanding how models embed tokens in vector space is critical for interpreting their behavior. This talk explores the geometric properties of Large Language Model (LLM) embeddings and Multimodal-LLM (MLLM) embeddings through three studies.The first study introduces IsoScor...
Leggi tutto...Giulio Del Corso - "Generating a physically accurate cardiac MRI: a story of (interesting) failures and (justifiable) numerical shortcuts"Abstract: "The generation of physically accurate cardiac-MRI video sequences is a challenging topic that requires a combination of modern g...
Leggi tutto...Luca Ciampi - "Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting"Abstract: "Object counting estimates the number of objects in images or video frames. Studies reveal that the human brain employs two distinct methods for counting objects owing to the s...
Leggi tutto...Gabriele Lagani - "Hebbian learning algorithms for deep neural networks: explorations and outlooks"Abstract: Deep learning systems have achieved outstanding results in various AI tasks. However, such system suffer from a number of limitations, for example in terms of energy an...
Leggi tutto...Saira Bano - "From Complexity to Clarity: Enhancing Cross-Modal Knowledge Distillation via Multimodal Teacher Ensembles"Abstract: Traditional knowledge distillation (KD) typically uses a large, complex teacher model, often trained to a single modality, to transfer knowledge to...
Leggi tutto...We live in aworld of instant results and fleeting gratification. In HCI no less: the designprinciples for direct manipulation require immediate feedback and, in the caseof graphical actions, sub-second responses. In addition, computers expect us togive them our undivided atten...
Leggi tutto...Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...
Leggi tutto...While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...
Leggi tutto...In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...
Leggi tutto...Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...
Leggi tutto...Understanding how models embed tokens in vector space is critical for interpreting their behavior. This talk explores the geometric properties of Large Language Model (LLM) embeddings and Multimodal-LLM (MLLM) embeddings through three studies.The first study introduces IsoScor...
Leggi tutto...Giulio Del Corso - "Generating a physically accurate cardiac MRI: a story of (interesting) failures and (justifiable) numerical shortcuts"Abstract: "The generation of physically accurate cardiac-MRI video sequences is a challenging topic that requires a combination of modern g...
Leggi tutto...Luca Ciampi - "Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting"Abstract: "Object counting estimates the number of objects in images or video frames. Studies reveal that the human brain employs two distinct methods for counting objects owing to the s...
Leggi tutto...Gabriele Lagani - "Hebbian learning algorithms for deep neural networks: explorations and outlooks"Abstract: Deep learning systems have achieved outstanding results in various AI tasks. However, such system suffer from a number of limitations, for example in terms of energy an...
Leggi tutto...Saira Bano - "From Complexity to Clarity: Enhancing Cross-Modal Knowledge Distillation via Multimodal Teacher Ensembles"Abstract: Traditional knowledge distillation (KD) typically uses a large, complex teacher model, often trained to a single modality, to transfer knowledge to...
Leggi tutto...We live in aworld of instant results and fleeting gratification. In HCI no less: the designprinciples for direct manipulation require immediate feedback and, in the caseof graphical actions, sub-second responses. In addition, computers expect us togive them our undivided atten...
Leggi tutto...Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...
Leggi tutto...While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...
Leggi tutto...In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...
Leggi tutto...Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...
Leggi tutto...