{"id":3243,"date":"2024-09-03T11:48:37","date_gmt":"2024-09-03T06:18:37","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2023\/?page_id=3243"},"modified":"2026-09-23T21:40:53","modified_gmt":"2026-09-23T16:10:53","slug":"detailed-programme","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/detailed-programme\/","title":{"rendered":"Detailed Programme"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_fullwidth_code _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”-90px||||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

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AIMLSYSTEMS 2026<\/div>\n

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Detailed Technical Program<\/h1>\n

Research, Industry, Posters & Panel Presentations<\/pee> <\/p>\n

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<\/div>\n

<\/p>\n

<\/i> Tue, Oct 6<\/a> <\/i> Wed, Oct 7<\/a> <\/i> Thu, Oct 8<\/a> <\/i> Fri, Oct 9<\/a> <\/div>\n

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Tuesday, October 6<\/span><\/h2>\n

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<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n
<\/i> Time (CET)<\/th>\n

<\/p>\n

Event Details<\/th>\n

<\/p>\n

Location<\/th>\n

<\/tr>\n

<\/thead>\n

<\/p>\n

18:00 – 18:30<\/td>\n

<\/p>\n

 <\/i> Registration<\/span> <\/td>\n

<\/p>\n

<\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

18:30 – 19:30<\/td>\n

<\/p>\n

 <\/i> Conference Opening & Welcome Reception<\/span> Host: Marco Tarabini<\/span> <\/td>\n

<\/p>\n

<\/i> First Floor Lobby<\/span><\/td>\n

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<\/tbody>\n

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<\/div>\n

<\/p>\n

<\/p>\n

Wednesday, October 7<\/span><\/h2>\n

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<\/p>\n
<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n
<\/i> Time (CET)<\/th>\n

<\/p>\n

Session 1 \/ Plenary<\/th>\n

<\/p>\n

Session 2<\/th>\n

<\/tr>\n

<\/thead>\n

<\/p>\n
08:30 – 09:00<\/td>\n

<\/p>\n

 <\/i> Registration<\/span> <\/i> First Floor Lobby<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

09:00 – 10:00<\/td>\n

<\/p>\n

 <\/i> Plenary Session: Prof. Michele Magno (ETH)<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:00 – 10:30<\/td>\n

<\/p>\n

<\/i> Coffee Break <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

10:30 – 12:30<\/td>\n

<\/p>\n

 <\/i> Research Track 1<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/p>\n

 <\/i> Industry Track 1<\/span> <\/i> Room A0.2<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:30 – 10:50<\/td>\n

<\/p>\n

 LDT-Poly: Low-Degree Trainable Polynomial Activation for Privacy-Preserving Deep Learning<\/strong> Alessandro Falcetta, Fabrizio Pittorino, Manuel Roveri<\/span> <\/td>\n

<\/p>\n

 Evaluating Low-Power Edge-AI for Always-on Contextual Vision<\/strong> Francesca Palermo, Greta Corti, Aurelio Telli, Syed Shakib Sarwar, Derek Valleroy, Barbara De Salvo, Chiao Liu, Diana Trojaniello<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:50 – 11:10<\/td>\n

<\/p>\n

 Consensus Reservoirs for Synchronous Federated Optimization<\/strong> Ojaswa Varshney, Pradeep Singh, Rajeev Shorey<\/span> <\/td>\n

<\/p>\n

 EdgeTalk: Agentic Speech-Text Models for Edge Devices<\/strong> Megha Sharma, Tushar Vatsal, Prakhar Swarup, Raghavendra Bilgi<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

11:10 – 11:30<\/td>\n

<\/p>\n

 Memory Refinement for Latent Replays in Continual Learning<\/strong> Edoardo Giudici, Fabrizio Pittorino, Manuel Roveri<\/span> <\/td>\n

<\/p>\n

 Bridging Photonics and AI: CVAE-Based Inverse Design of Plasmonic Sensors<\/strong> Anish Datta, Soma Bandyopadhyay, Subhasri Chatterjee, Anirban Chaudhuri, Arpan Pal<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

11:30 – 11:50<\/td>\n

<\/p>\n

 S-VETT: Semantic VectorDB-Enabled Transfer Learning for Time-Series Forecasting Under Extreme Data Scarcity<\/strong> Jonatan Sciaky, Lorenzo Epifani, Alessandro Falcetta, Manuel Roveri<\/span> <\/td>\n

<\/p>\n

 Text2Flowsheet: Generating DWSIM-Ready Flowsheets from Natural Language Descriptions<\/strong> Amit Sangroya, Arushi Jain, Monika Sharma, Shubham Paliwal, Suparshva Jain<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

11:50 – 12:10<\/td>\n

<\/p>\n

 Malware families discovery via Open-Set Recognition on Android manifest permissions<\/strong> Filippa Leveni, Matteo Mistura, Francesco Tubaldi, Carmine Giangregorio, Nicol\u00f2 Pastore, Cesare Alippi, Giacomo Boracchi<\/span> <\/td>\n

<\/p>\n

 From Papers to Animations: A Plan Mediated LLM Pipeline with Parser Friendly Code Generation (PAGE)<\/strong> Chitranshu Harbola, Balaji Srinivasan<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

12:10 – 12:30<\/td>\n

<\/p>\n

 Engineering AI-Ready Data: Advanced Methods for Dataset Preparation<\/strong> Diego Carrera, Stefano Bertolasi, Diego Stucchi, Beatrice Rossi, Pasqualina Fragneto<\/span> <\/td>\n

<\/p>\n

 DEMO: Live-Demo: RISC-V Edge Inference for Real-Time Eye-Movement Control on GAPses Smart Glasses<\/strong> <\/td>\n

<\/tr>\n

<\/p>\n

12:30 – 13:30<\/td>\n

<\/p>\n

<\/i> Lunch <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

13:30 – 14:30<\/td>\n

<\/p>\n

 <\/i> Keynote Talk: Prof. Cesare Alippi<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

14:30 – 15:00<\/td>\n

<\/p>\n

 <\/i> Sponsor Talk: Dr. Joel Goodman (ONR)<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

15:00 – 15:30<\/td>\n

<\/p>\n

<\/i> Coffee Break <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

15:30 – 17:00<\/td>\n

<\/p>\n

 <\/i> Research Track 2<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/p>\n

 <\/i> Industry Track 2<\/span> <\/i> Room A0.2<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

15:30 – 15:50<\/td>\n

<\/p>\n

 YOSO-Rep ViT. Improving Real-Time Panoptic Segmentation with Rep ViT<\/strong> Marc Ellenfeld, Maximilian Schwaiger, Moritz Ufer, Jonathan Kobold<\/span> <\/td>\n

<\/p>\n

 NL2SQL System Aided by Memory: Usage of Prior Reasonings for Faster inference<\/strong> Harshita Chandwani, Venkata Rama Krishna Sreepada, Sai Karthik Athota<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

15:50 – 16:10<\/td>\n

<\/p>\n

 Dynamic Reweighting for Instance to Model-based Transition for On-Device Speaker Verification<\/strong> Michele Craighero, Matteo Figini, Manuel Pariente, Giacomo Boracchi, Manuel Roveri<\/span> <\/td>\n

<\/p>\n

 Exploiting Cross-Query Redundancy in Multi-Source Workloads Using Hyper-DAGs and Adaptive Operator DAG<\/strong> Ravi Kumar Singh, Shruti Kunde, Rekha Singhal<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

16:10 – 16:30<\/td>\n

<\/p>\n

 Bridging Symbolic Models and Simulation: LLM-Generated FMUs for HVAC Control<\/strong> Javad Hosseinzadeh, Mohammad Esmaeili, Sascha Hammes, Thomas Ederer, Gernot Steindl, Philipp Zech<\/span> <\/td>\n

<\/p>\n

 Efficient Multimodal Document Retrieval in Industrial Settings via Compressed Vision-Language Embeddings<\/strong> Andrea Sassella, Mark J. Carman<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

16:30 – 16:50<\/td>\n

<\/p>\n

 TRACE: Target-Responsive Actionable Causal Engine: A CausalGraph-Guided System for Financial KPI Planning<\/strong> Soubhik Bhattacharya, Aniruddha Bardhan, Siddharth Kumar, Arkadeep Banerjee<\/span> <\/td>\n

<\/p>\n

 GPU-RAR-GPU Retrieval Platform at LinkedIn<\/strong> Dhritiman Das, Vishal Shah, Chirag Mehta, Pratik Desai, Chinmay Naik, Manika Agarwal, Ronak Kaoshik, Shirisha Singh, Meng Zhang<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

17:00 – 17:30<\/td>\n

<\/p>\n

<\/i> Short Break<\/td>\n

<\/tr>\n

<\/p>\n

17:30 – 18:00<\/td>\n

<\/p>\n

 <\/i> Panel: Green AI<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

18:00 – 18:30<\/td>\n

<\/p>\n

 <\/p>\n
<\/p>\n
<\/i> Poster Session & Aperitif<\/span> <\/i> First Floor Lobby<\/span> <\/div>\n

<\/p>\n

Wednesday Posters:<\/strong> <\/p>\n
    <\/p>\n
  • LDT-Poly: Low-Degree Trainable Polynomial Activation<\/li>\n

    <\/p>\n

  • Consensus Reservoirs for Synchronous Federated Optimization<\/li>\n

    <\/p>\n

  • Memory Refinement for Latent Replays in Continual Learning<\/li>\n

    <\/p>\n

  • S-VETT: Semantic VectorDB-Enabled Transfer Learning<\/li>\n

    <\/p>\n

  • Malware families discovery via Open-Set Recognition<\/li>\n

    <\/p>\n

  • Evaluating Low-Power Edge-AI for Contextual Vision<\/li>\n

    <\/p>\n

  • EdgeTalk: Agentic Speech-Text Models for Edge Devices<\/li>\n

    <\/p>\n

  • Bridging Photonics and AI: CVAE-Based Inverse Design<\/li>\n

    <\/p>\n

  • Text2Flowsheet: Generating DWSIM-Ready Flowsheets<\/li>\n

    <\/p>\n

  • From Papers to Animations: A Plan Mediated LLM Pipeline<\/li>\n

    <\/p>\n

  • YOSO-Rep ViT. Improving Real-Time Panoptic Segmentation<\/li>\n

    <\/p>\n

  • Dynamic Reweighting for Instance to Model-based Transition<\/li>\n

    <\/p>\n

  • Bridging Symbolic Models and Simulation: LLM-Generated FMUs<\/li>\n

    <\/p>\n

  • TRACE: Target-Responsive Actionable Causal Engine<\/li>\n

    <\/p>\n

  • NL2SQL System Aided by Memory<\/li>\n

    <\/p>\n

  • Exploiting Cross-Query Redundancy in Multi-Source Workloads<\/li>\n

    <\/p>\n

  • Efficient Multimodal Document Retrieval in Industrial Settings<\/li>\n

    <\/p>\n

  • GPU-RAR-GPU Retrieval Platform at LinkedIn<\/li>\n

    <\/ul>\n

    <\/div>\n

    <\/div>\n

    <\/td>\n

    <\/tr>\n

    <\/p>\n

19:30 – 21:30<\/td>\n

<\/p>\n

 <\/i> Conference Dinner<\/span> <\/i> TBA<\/span> <\/td>\n

<\/tr>\n

<\/tbody>\n

<\/table>\n

<\/div>\n

<\/div>\n

<\/div>\n

<\/p>\n

<\/p>\n

Thursday, October 8<\/span><\/h2>\n

<\/p>\n

<\/p>\n
<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n
<\/i> Time (CET)<\/th>\n

<\/p>\n

Session 1 \/ Plenary<\/th>\n

<\/p>\n

Session 2<\/th>\n

<\/tr>\n

<\/thead>\n

<\/p>\n
08:30 – 09:00<\/td>\n

<\/p>\n

 <\/i> Registration<\/span> <\/i> First Floor Lobby<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

09:00 – 10:00<\/td>\n

<\/p>\n

 <\/i> Plenary Session: Prof. Supratik Mukhopadhyay<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:00 – 10:30<\/td>\n

<\/p>\n

<\/i> Coffee Break <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

10:30 – 12:30<\/td>\n

<\/p>\n

 <\/i> Research Track 3<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/p>\n

 <\/i> Research Track 4<\/span> <\/i> Room A0.2<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:30 – 10:50<\/td>\n

<\/p>\n

 Exploring Redundancy and Shared Representations for Transformer Models Optimization<\/strong> Enrico Simionato, Federico Toschi, Andrea Sassella, Nicol\u00f2 Brunello, Vincenzo Scotti, Mark J. Carman<\/span> <\/td>\n

<\/p>\n

 Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning<\/strong> Noah Subedar, Colin Campbell, Wenjing Zhang, Dan Perri, Sarah Culgin, Andrew Hamilton-Wright<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:50 – 11:10<\/td>\n

<\/p>\n

 Paired Replacement Differential Cache Maintenance for Dynamic Sparse and Mixture-of-Experts Inference<\/strong> Mohammad Tanzil Idrisi<\/span> <\/td>\n

<\/p>\n

 Consistent Relexicalization of Clinical Documents using Graph-Based Approach<\/strong> Dipankar Das, Atri Mandal, Sandeep Singh, Tushar Shandhilya<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

11:10 – 11:30<\/td>\n

<\/p>\n

 Adapter Slots Warp-Aligned Multi-LoRA Serving via WAR-Gated Kernel Promotion<\/strong> Shashank Tippanavar, Vivek Yadav<\/span> <\/td>\n

<\/p>\n

 Assessing Reliability of Large Language Models for Clinical Summarization Across Indian Languages<\/strong> Kunwar Zaid, Vikas Kumar, Jyotsana Khatri, Amit Sangroya<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

11:30 – 11:50<\/td>\n

<\/p>\n

 Energy-Efficient On-Device RAG on a Mobile NPU System Design and Benchmark on Snapdragon X Elite<\/strong> Zhiyuan Cheng, Longying Lai<\/span> <\/td>\n

<\/p>\n

 Visualizing Medical Classifier Decision Boundaries via Latent Space Traversal<\/strong> Tejas T. Singh, Rishu Kumar, Shreya Yadav, Rajiv Misra, Supratik Mukhopadhyay<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

11:50 – 12:10<\/td>\n

<\/p>\n

 A Cross-Stack Characterisation of Inter-Agent Message Compression in Multi-Agent LLM Systems<\/strong> Akash Mondal<\/span> <\/td>\n

<\/p>\n

 Robust Lightweight Deep Learning Models for Oral Cancer Screening<\/strong> Siddhant Bharadwaj, Aakash Shedsale, Tejashree Subramanya, Mohd. Azfar, Praveen Birur, Debnath Pal, Shankararama Sharma, Jamal Saeed, Alessandro Giusti<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

12:10 – 12:30<\/td>\n

<\/p>\n

 Tool Choice Confusion: Causal Minimal Tool Filtering for Reliable LLM Agents<\/strong> Rahul Suresh Babu, Laxmipriya Ganesh Iyer<\/span> <\/td>\n

<\/p>\n

 Leveraging Vision Foundation Models with a Lightweight PyraFuse Decoder for Skin-Fabric Semantic Segmentation<\/strong> TBA<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

12:30 – 13:30<\/td>\n

<\/p>\n

<\/i> Lunch <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

13:30 – 14:30<\/td>\n

<\/p>\n

 <\/i> Keynote Talk: Dr. Rajeev Rastogi<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

14:30 – 15:00<\/td>\n

<\/p>\n

 <\/i> Sponsor Talk: Daniele Ceccarelli (Cisco)<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

15:00 – 15:30<\/td>\n

<\/p>\n

<\/i> Coffee Break <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

15:30 – 17:00<\/td>\n

<\/p>\n

 <\/i> Research Track 5<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/p>\n

 <\/i> Industry Track 3<\/span> <\/i> Room A0.2<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

15:30 – 15:50<\/td>\n

<\/p>\n

 ACID-Bench: Fault-Injection Contracts for State-Changing Tool Agents<\/strong> Andrei Vince<\/span> <\/td>\n

<\/p>\n

 Sponsor Slot \/ Free Spot<\/em> <\/td>\n

<\/tr>\n

<\/p>\n

15:50 – 16:10<\/td>\n

<\/p>\n

 ParEvalLayer: When Partial LLM-Agent Evaluations Support a Decision<\/strong> Wei-Jung Huang, Bonan Shen<\/span> <\/td>\n

<\/p>\n

 Substitutes, Not Complements: Entity Features vs Fine-tuned Embeddings for Expense Allocation<\/strong> Sourav Karmakar, Reeti Sarup, Deepak Gujraniya, Mithun Ghosh<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

16:10 – 16:30<\/td>\n

<\/p>\n

 Artificial Intelligent Application for Optical networking: an overview<\/strong> Maurizio Gazzola<\/span> <\/td>\n

<\/p>\n

 Dynamic Pricing with Segment and Inventory Awareness via Decoupled Conversion Modeling<\/strong> Aakash Swami, Narendhar Gugulothu<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

16:30 – 16:50<\/td>\n

<\/p>\n

 Breaking the Tie: Personalized Reranking for Relevance-Saturated Educational User-Generated Content Search<\/strong> Anbang Wu<\/span> <\/td>\n

<\/p>\n

 CABIN: A Conditional Anchor-Based Framework for Add-on Pricing and Bundling<\/strong> Aakash Swami, Srividhya Sethuraman<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

17:00 – 17:30<\/td>\n

<\/p>\n

<\/i> Short Break<\/td>\n

<\/tr>\n

<\/p>\n

17:30 – 18:00<\/td>\n

<\/p>\n

 <\/i> Panel: Agents<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

18:00 – 18:30<\/td>\n

<\/p>\n

 <\/p>\n
<\/p>\n
<\/i> Poster Session & Light Aperitif<\/span> <\/i> First Floor Lobby<\/span> <\/div>\n

<\/p>\n

Thursday Posters:<\/strong> <\/p>\n
    <\/p>\n
  • Exploring Redundancy and Shared Representations…<\/li>\n

    <\/p>\n

  • Paired Replacement Differential Cache Maintenance…<\/li>\n

    <\/p>\n

  • Adapter Slots Warp-Aligned Multi-LoRA Serving<\/li>\n

    <\/p>\n

  • Energy-Efficient On-Device RAG on a Mobile NPU<\/li>\n

    <\/p>\n

  • Inter-Agent Message Compression in Multi-Agent LLMs<\/li>\n

    <\/p>\n

  • Tool Choice Confusion: Causal Minimal Tool Filtering<\/li>\n

    <\/p>\n

  • The Critical Role of Data Filtering in Clinical ML<\/li>\n

    <\/p>\n

  • Consistent Relexicalization of Clinical Documents<\/li>\n

    <\/p>\n

  • Reliability of LLMs for Clinical Summarization (Indian Langs)<\/li>\n

    <\/p>\n

  • Visualizing Medical Classifier Decision Boundaries<\/li>\n

    <\/p>\n

  • Robust Lightweight Deep Learning for Oral Cancer Screening<\/li>\n

    <\/p>\n

  • Leveraging Vision Foundation Models for Skin-Fabric Segmentation<\/li>\n

    <\/p>\n

  • ACID-Bench: Fault-Injection Contracts for Agents<\/li>\n

    <\/p>\n

  • ParEvalLayer: When Partial LLM-Agent Evaluations Support Decision<\/li>\n

    <\/p>\n

  • AI Application for Optical networking: an overview<\/li>\n

    <\/p>\n

  • Breaking the Tie: Personalized Reranking for Edu Search<\/li>\n

    <\/p>\n

  • Substitutes, Not Complements: Entity Features vs Fine-tuned<\/li>\n

    <\/p>\n

  • Dynamic Pricing with Segment and Inventory Awareness<\/li>\n

    <\/p>\n

  • CABIN: A Conditional Anchor-Based Framework for Pricing<\/li>\n

    <\/ul>\n

    <\/div>\n

    <\/div>\n

    <\/td>\n

    <\/tr>\n

    <\/p>\n

19:30 – 21:30<\/td>\n

<\/p>\n

 <\/i> Conference Closing<\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/tbody>\n

<\/table>\n

<\/div>\n

<\/div>\n

<\/div>\n

<\/p>\n

<\/p>\n

Friday, October 9<\/span><\/h2>\n

<\/p>\n

<\/p>\n
<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n
<\/i> Time (CET)<\/th>\n

<\/p>\n

Session 1 \/ Plenary<\/th>\n

<\/p>\n

Session 2<\/th>\n

<\/tr>\n

<\/thead>\n

<\/p>\n
08:30 – 09:00<\/td>\n

<\/p>\n

 <\/i> Registration<\/span> <\/i> First Floor Lobby<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

09:00 – 10:00<\/td>\n

<\/p>\n

 <\/i> Plenary Session: Prof. Alberto Maria Metelli<\/a><\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

10:00 – 10:30<\/td>\n

<\/p>\n

<\/i> Coffee Break <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

10:30 – 12:30<\/td>\n

<\/p>\n

 <\/i> Workshop on Reinforcement Learning and Game Theory<\/a> <\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/p>\n

 <\/i> Workshop on Explainable AI for Astrophysics<\/a> <\/span> <\/i> Room A0.2<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

12:30 – 13:30<\/td>\n

<\/p>\n

<\/i> Lunch <\/i> First Floor Lobby<\/span><\/td>\n

<\/tr>\n

<\/p>\n

13:30 – 15:00<\/td>\n

<\/p>\n

 <\/i> Workshop on Biomedical Imaging and Computer Vision<\/a> <\/span> <\/i> Room A0.1<\/span> <\/td>\n

<\/p>\n

 <\/i> Workshop on Explainable AI for Astrophysics<\/a> <\/span> <\/i> Room A0.2<\/span> <\/td>\n

<\/tr>\n

<\/p>\n

15:00 – 15:30<\/td>\n

<\/p>\n

<\/i> Coffee Break <\/i> First Floor Lobby<\/span><\/td>\n

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15:30 – 17:00<\/td>\n

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 <\/i> Workshop on Biomedical Imaging and Computer Vision<\/a> <\/span> <\/i> Room A0.1<\/span> <\/td>\n

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<\/div>\n

<\/div>\n

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