- Save the date
Our Open House for admitted EDIC fellowship students run for two days, from Tuesday, March 26 to Wednesday, March 27, 2024.
We offered a large number of short talks and group events, as well as plenty of opportunities for one-on-one meetings with IC faculty and students. These meetings are a great opportunity for attendees to learn more about the research we do, as well as ask all the questions about PhD student life at EPFL and in Lausanne.
We were glad to have you, and hope to see you in September!
Martin Jaggi and Nicolas Flammarion, 2024 EDIC Open House Chairs
Past edition: Schedule 2024
Day 1 – Tuesday, March 26
| Time | Program |
|---|---|
| 08:45-09:15 | Registration & welcome coffee |
| 09:20-12:40 | Welcome presentation & Lightning talks in 2 parallel tracks |
| 12:40-14:30 | Standing lunch break & Poster Session |
| 14:00-18:00 | Research areas roundtable discussions & One-on-one meetings |
| 18:00-19:00 | EPIC presentation & Campus tour |
| 20:00 on | Dinner in town |
Day 2 – Wednesday, March 27
| Time | Program |
|---|---|
| 09:00-12:00 | Research areas roundtable discussions & One-on-one meetings |
| 12:00-12:20 | Closing remarks |
| 12:30-13:45 | Lunch break |
| 14:00-15:00 | Coffee in the lab |
| 14:00-18:00 | One-on-one meetings |
Lighting Talks
PARALLEL TRACK I: MARTIN JAGGI (CHAIR)
| in BC 420 | Speaker |
|---|---|
| 09:55-10:10 | Vinitra Swamy, Machine Learning for Education Lab |
| 10:10-10:25 | Maria Brbic & Artem Gadetskii, Machine Learning for Biomedicine Lab |
| 10:25-10:40 | Charlotte Bunne, newly appoited IC faculty |
| 10:40-10:55 | Alireza Modirshanechi, Computational Neuroscience Laboratory |
| break | |
| 11:25-11:40 | Caglar Gulcehre, Caglar Gulcehre Lab for AI Research |
| 11:40-11:55 | Martin Schrimpf, NeuroAI Lab |
| 11:55-12:10 | Alessandro Favero, Signal Processing Lab 4 |
| 12:10-12:25 | Freya Behrens, Statistical Physics of Computation Lab |
| 12:25-12:40 | Tim Davidson, Data Science lab |
PARALLEL TRACK II: NICOLAS FLAMMARION (CHAIR)
| in BC 410 | Speaker |
|---|---|
| 09:55-10:10 | Thomas Vidick |
| 10:10-10:25 | Akash Dhasade, Scalable Computing Systems Lab |
| 10:25-10:40 | Viktor Sanca, Data-Intensive Applications and Systems Lab |
| 10:40-10:55 | Shashwat Shrivastava, Parallel Systems Architecture Lab |
| break | |
| 11:25-11:40 | Radu Vintan, Theory Lab 2 |
| 11:40-11:55 | Thomas Bourgeat & Yann Herklotz, Verification and Computer Architecture Lab |
| 11:55-12:10 | Aurèle Barrière, Systems and Formalisms Lab |
| 12:10-12:25 | Roman Bachmann, Visual Intelligence and Learning Laboratory |
| 12:25-12:40 | Michele Vidulis, Geometric Computing Lab |
Poster list
ALGORITHMS & THEORETICAL COMPUTER SCIENCE
| Lab | Title |
|---|---|
| Information and Network Dynamics (INDY) | Hierarchical versus Flat Communities |
| Sycamore Lab | Multi-Agent Learning in Contextual Games under Unknown Constraints |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING – AIML
COMPUTATIONAL BIOLOGY
| Lab | Title |
|---|---|
| Computational Neuroscience Laboratory (LCN) | Novelty drives human exploration even when it is suboptimal |
| Mathis Group for Computational Neuroscience and AI | Skill learning and modeling sensorimotor circuits |
COMPUTER ARCHITECTURE & INTEGRATED SYSTEM – CAIS
| Lab | Title |
|---|---|
| Parallel Systems Architecture Laboratory (PARSA) | Accuracy Booster: Enabling 4-bit Fixed-point Arithmetic for DNN Training |
| Parallel Systems Architecture Laboratory (PARSA) | IIBLAST: Speeding Up Commercial FPGA Routing by Decoupling and Mitigating the Intra-CLB Bottleneck |
| Parallel Systems Architecture Laboratory (PARSA) | Server Benchmarking with CloudSuite 4.0 |
DATA MANAGEMENT & INFORMATION RETRIEVAL – DMIR
| Lab | Title |
|---|---|
| Data-Intensive Applications and Systems (DIAS) | HPCache: Memory-Efficient OLAP Through Proportional Caching |
| Data-Intensive Applications and Systems (DIAS) | LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
| Data-Intensive Applications and Systems (DIAS) | Proteus: taming heterogeneity through virtualization & JIT adaptivity |
| Data-Intensive Applications and Systems (DIAS) | Adaptive Recursive Query Optimization |
DIGITAL EDUCATION
| Lab | Title |
|---|---|
| Machine Learning for Education Laboratory (ML4ED) | Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains |
GRAPHICS & VISION
| Lab | Title |
|---|---|
| Geometric Computing Laboratory (GCM) | DEMO |
| Image and Visual Representation Laboratory (IVRL) | DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata |
| Image and Visual Representation Laboratory (IVRL) | Image Generation with Diffusion Models |
| Image and Visual Representation Laboratory (IVRL) | Mesh Neural Cellular Automata -DEMO |
NATURAL LANGUAGE PROCESSING
| Lab | Title |
|---|---|
| Data Science Lab (DLAB) | Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning |
OPERATING SYSTEM AND NETWORKS – OSNET
| Lab | Title |
|---|---|
| Dependable Systems Lab (DSLAB) | Memory-Usage Interfaces for Systems Code |
| Robust Scalable Systems Software Lab (RS3LAB) | Ship your Critical Section, Not Your Data: Enabling Transparent Delegation with TCLocks |
PROGRAMMING LANGUAGES & FORMAL METHODS
| Lab | Title |
|---|---|
| Dependable Systems Lab (DSLAB) | Automated Verification of Systems Code |
| Laboratory for Automated Reasoning and Analysis (LARA) | Proving and Disproving Equivalence of Functional Programming Assignments |
| Laboratory for Automated Reasoning and Analysis (LARA) | Lisa – A Proof Assistant in Scala |
SYSTEM
| Lab | Title |
|---|---|
| Data-Intensive Applications and Systems (DIAS) | Dalton: Learned Partitioning for Distributed Data Streams |
| Dependable Systems Lab (DSLAB) | Latency Interfaces for Network Functions |
| Dependable Systems Lab (DSLAB) | Performance Interfaces for Hardware Accelerators |
| Dependable Systems Lab (DSLAB) | Transparent Multicore Scaling of Single-threaded Network Functions |
| Robust Scalable Systems Software Lab (RS3LAB) | EvOS: Application-Defined OS Evolution |
| Scalable Computing Systems Laboratory | Secure Aggregation Meets Sparsification in Decentralized Learning |
Research areas roundtable discussions
Tuesday, March 26
Wednesday, March 27
Coffee in the lab
| Host Laboratory | Room |
|---|---|
| Geometric Computing Lab | INM 014 |
| Machine Learning for Education Lab | INF 220 |
| Machine Learning for Biomedicine Lab & Machine Learning and Optimization | INJ 326 |
| Signal Processing Laboratory | ELE 223 |
| HexHive | BC 159 |
| Parallel Systems Architecture Laboratory | INJ 213 |
| Laboratory of Sensing and Networking Systems/upon invitation only | |
| Natural Language Processing Lab/upon invitation only | |
| NeuroAI/upon invitation | BC 271 |
| Visual Intelligence and Learning Lab | INJ 211 |
| Computational Neuroscience Laboratory* | AI* |
Experience Switzerland
- MySwitzerland.com. In-depth, multilingual Switzerland Tourism website (VR experience, videos, maps, etc.).
- Virtual tour of the Canton of Vaud. Navigate this interactive portal to explore some of the most beautiful sites in our region from your sofa.
- Lake Geneva Region
EDIC Useful links
- EDIC Program details
- Research – IC School
- Search IC School publications
- EDIC Arrival guide
- EPIC (EDIC PhD Association)
- PolyDoc (EPFL PhD Association)