Christian Bianchi

Researcher in Adaptive & Multimodal AI

I am an M.Sc. student in Computer Science at Sapienza University of Rome and an R&D Scientist at ItalAI, working on adaptive and multimodal artificial intelligence. My research investigates how learning systems can adapt and recombine previously acquired capabilities as tasks, environments, and interaction dynamics change. I am currently a visiting researcher in the Autonomous Learning Group at the University of Tübingen, where I am conducting my master's thesis with Georg Martius and Fabio Galasso.

B.Sc. in Applied C.S. and AI

2021 - 2024

M.Sc. in Computer Science

2025 - 2027

Explore research
Portrait of Christian Bianchi.

News

Selected Research

Preprint

Long-Horizon Compositional Manipulation via Meta-Network Dynamic Adaptation

Christian Bianchi, Mehdi Amlal, Alessio Palma, Matteo Gioia, Edoardo Ensoli, Alessio Sampieri, Andrea Roberti, Fabio Galasso, Luca Franco

SPELL learns a meta-network over single-skill LoRA experts that generates the adapters for each skill in a new task, switching between them during execution without target-task action labels or test-time gradient updates. It doubles held-out LIBERO-10 success (0.25 to 0.50), reaches 4.58 on CALVIN ABC→D, and improves full-sequence success on a real Franka Emika Panda from 0.31 to 0.56.

SPELL overview: one adapter is generated per subtask from prompt and video evidence, and the active adapter is switched when a completion signal crosses a threshold.

CoRL 2026 Workshop

Robotic Policy Adaptation via Weight-Space Meta-Learning

Christian Bianchi, Siamak Yousefi, Alessio Sampieri, Andrea Roberti, Luca Rigazio, Fabio Galasso, Luca Franco

It formulates robotic adaptation as parameter prediction, mapping multimodal task evidence directly to task-specific LoRA updates for a frozen VLA policy without target-task action labels or test-time optimization. On held-out LIBERO-Spatial tasks it raises success from 19% for a fine-tuned π0.5 to 40%, and from 17% to 37% on a real Franka Emika Panda.

WIZARD overview: LoRA experts trained on source tasks supervise a meta-network that generates a target-task adapter for a frozen VLA policy from a new task demonstration.

IJCNN 2025 - Oral

Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution

Luigi Sigillo, Christian Bianchi, Aurelio Uncini, Danilo Comminiello

It leverages Stable Diffusion priors while dynamically injecting quaternion wavelet embeddings at different denoising stages to improve structural fidelity and perceptual quality.

ResQu overview: quaternion wavelet (QUAVE) and timestep embeddings condition a latent diffusion U-Net through a quaternion wavelet- and time-aware encoder to produce the super-resolved image.

B.Sc. Thesis, 2024

Calibrating Neural Networks via Radius Regularization

Christian Bianchi

Introduced radius regularization, a geometry-aware objective that aligns predictive confidence with embedding radius to improve neural network calibration.

Honors & Service

  • 2027

    Reviewer

    International Joint Conference on Neural Networks (IJCNN)

  • 2026

    Selected Participant

    Machine Learning Summer School (MLSS), Tübingen

  • 2026

    Selected Participant

    International Computer Vision Summer School (ICVSS), Sicily

  • 2026

    Erasmus+ Research Mobility

    Research stay at the Autonomous Learning Group, University of Tübingen

  • 2026

    Honours Programme

    M.Sc. in Computer Science, Sapienza University of Rome

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  • 2026

    Selected Mentee

    LeadTheFuture, Class of 2027

  • 2025

    Student Volunteer

    SIGGRAPH 2025, Vancouver

  • 2025

    Oral Presentation

    IJCNN 2025 for ResQu: Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution

  • 2024

    HCL Software Maverick Award

    One of four recipients worldwide

  • 2019

    Full Study-Abroad Scholarship

    Sole recipient among 2,000+ applicants

Experience

Autonomous Learning Group logo.

Autonomous Learning Group

Sep 2026 - May 2027

Erasmus+ Visiting Researcher

ItalAI logo.

ItalAI

Jun 2025 - Present

R&D Scientist

PINlab logo.

PINlab

Apr 2024 - Present

Research collaborator

ISPAMM laboratory logo.

ISPAMM Laboratory

Dec 2024 - Mar 2025

Research collaborator

F1 Consulting Services logo.

F1 Consulting Services

Mar 2025 - Jun 2025

Generative AI Engineer

HCL Software logo.

HCL Software

May 2022 - Mar 2025

Software Engineer II

Milestones

  1. Christian Bianchi presenting the WIZARD poster at ICVSS 2026.

    2026

    ICVSS 2026

    Selected Participant · Poster Presenter

  2. Christian Bianchi giving the ResQu oral presentation at IJCNN 2025 in Rome.

    2025

    IJCNN 2025

    Oral Presenter

  3. Christian Bianchi presenting his bachelor's thesis.

    2024

    B.Sc. Thesis Presentation

    Applied Computer Science and Artificial Intelligence