EDIC Open House ‒ EDIC ‐ EPFL

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

Lab	Title
Chair of Business Analytics (BAN	Causal inference: Going beyond Associations
Computational Neuroscience Laboratory (LCN)	Dissociating curiosity-driven exploration algorithms
Information and Network Dynamics 2 (INDY2)	Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Laboratory for Information and Inference Systems (LIONS)	Imitation Learning without exploration assumptions
Laboratory for Information in Networked Systems (LINX), Information Processing Group (IPG)	Attention with Markov
Machine Learning and Optimization Laboratory (MLO)	Landmark Attention: Random-Access Infinite Context Length for Transformers
Machine Learning for Biomedicine Lab (MLBIO)	The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
Mathis Group for Computational Neuroscience and AI	Deep learning for measuring behavior
ML4ED + MLO	MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
Scalable Computing Systems Laboratory	Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Signal Processing Lab (LTS4)	Improving Discrete Diffusion on Graph Generation

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

Time	Room	Area
14:00-14:45	BC 410	Computer Architecture & Integrated Systems
15:00-15:45	INN 326	Operating Systems & Networks

Wednesday, March 27

Time	Room	Area
9:00-9:45	BC 333	Programming Languages & Formal Methods
11:00-11:45	BC 410	Theory of Artificial Intelligence & Machine Learning

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*

* Meeting point at the bottom of the stairs in BC hall at 1:55 PM sharp, a student will chaperon participants to the lab in AI (building with restricted access)

Aletsch Glacier, Photo by Dino Reichmuth on Unsplash

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